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The End of Illness by David B. Agus M. D.
Danny Hillis, discovery of penicillin, double helix, epigenetics, germ theory of disease, Google Earth, impulse control, information retrieval, meta analysis, meta-analysis, microbiome, Murray Gell-Mann, pattern recognition, personalized medicine, randomized controlled trial, risk tolerance, Steve Jobs, the scientific method
Think about what it would be like, for instance, to know precisely how to tweak your diet to effortlessly lose twenty pounds for good, or to have a detailed list of things to avoid and things to embrace that make you feel fantastic and be in tip-top shape, or to know what the perfect amount of medicine X is for you to combat affliction Y successfully with no side effects. That’s the promise that personalized medicine has to offer. But, once again, you won’t be able to enjoy the benefits of personalized medicine until you get up close and personal with yourself. Nothing about health is one-size-fits-all, so until you know how to perform your own “fitting,” you won’t be able to live the long and happy life that’s awaiting you. The checklist below used to be buried deep in the book somewhere—long after I’d done a lot of explaining and storytelling—but I’ve since plucked it out and placed it here.
The End of Illness is a bold call for all of us to become our own personal health advocates, and a dramatic departure from orthodox thinking. This is a seminal work that promises to revolutionize how we live. DAVID B. AGUS, MD, is a professor of medicine and engineering at the University of Southern California Keck School of Medicine and Viterbi School of Engineering and heads USC’s Westside Cancer Center and the Center for Applied Molecular Medicine. He is the cofounder of two pioneering personalized medicine companies, Navigenics and Applied Proteomics. Dr. Agus is an international leader in cancer care and new technologies and approaches for personalized health care and chairs the Global Agenda Council on Genetics for the World Economic Forum. He has received numerous awards, including the 2009 GQ Magazine Rock Star of Science Award. On the cover: An image showing the beautiful richness and complexity of protein-based information derived from a drop of human blood.
I also hope that your future will be determined by the power of choice, and, when necessary, that it will guide you down pathways of healing. Only you can end illness. PART I The Science and Art of Defining Your Health If I had to sum up this entire book in a single phrase, it would be this: get to know yourself. I don’t mean that in a cosmic or purely psychological way. I’m a big believer in what’s called personalized medicine, which refers to customizing your health care to your specific needs based on your physiology, genetics, value system, and unique conditions. We are finally entering an exciting time in medicine where we have the technology to custom-tailor treatment and preventive protocols just as we’d custom-tailor a suit or designer gown to one’s individual body. But it all begins with you. You have to know yourself in a manner that you’ve probably never done before.
23andMe, Andy Kessler, bank run, barriers to entry, Berlin Wall, British Empire, business process, California gold rush, carbon footprint, Cass Sunstein, cloud computing, collateralized debt obligation, collective bargaining, computer age, disintermediation, Eugene Fama: efficient market hypothesis, fiat currency, Firefox, Fractional reserve banking, George Gilder, Gordon Gekko, greed is good, income inequality, invisible hand, James Watt: steam engine, Jeff Bezos, job automation, Joseph Schumpeter, knowledge economy, knowledge worker, libertarian paternalism, low skilled workers, Mark Zuckerberg, McMansion, Netflix Prize, packet switching, personalized medicine, pets.com, prediction markets, pre–internet, profit motive, race to the bottom, Richard Thaler, risk tolerance, risk-adjusted returns, Silicon Valley, six sigma, Skype, social graph, Steve Jobs, The Wealth of Nations by Adam Smith, transcontinental railway, transfer pricing, Yogi Berra
See Market entrepreneurs; Political entrepreneurs EPI-LIT (entertainment and perishable information) Equality, myth of Equal opportunity Establishment, Alinsky on Exceptionalism and employee testing bans finding in colleges and intelligence and productivity of Vital Few FAB (Feature, Application, Business) Facebook Faggin, Federico Fama, Eugene Fannie Mae/Freddie Mac FarmVille Features, versus applications, businesses Federal Deposit Insurance Corporation (FDIC) Federal Reserve and interest rates and money supply roles of Ferguson, Andrew Ferriss, Tim Financial sector as Slimers as Sponges Firefox Flickr Ford, Henry Fox Broadcasting Fractional reserve banking Freedom Free Radicals accomplishments of defined historical examples of See also Rules for Free Radicals French Revolution Frick, Henry Clay Frick Museum Friedman, Tom Fulton, Robert Garrett, Jesse James Gates, Bill Generation X Generation Y Genes, personalized medicine Gesture recognition Gibbons v. Ogden Gilder, George Gladwell, Malcolm Global economy as economic alliance and horizontal integration Gold standard Google advertising book digitization cloud computing job application test as “link server,” Maps, and Ajax and Mozilla and scale Voice YouTube purchase by Gordon, John Steele Gore, Al Government employees, as Sloppers Greed, and profits Griggs v. Duke Power Grove, Andy Guns, Germs, and Steel (Diamond) Halstead, Maurice Halstead length Haves and Have-nots Health care the edge in personalized medicine Hedge funds, abundance, finding for Helú, Carlos Slim Henne, Albert Hersov, Rob Hewlett-Packard Hierarchy of needs Hoff, Ted Horizontal integration benefits of computers and voice communication and global economy and innovation and intellectual property ownership meaning of and price United States example How Capitalism Saved America (DiLorenzo) How We Got Here (Kessler) Hulu Humans, adapting technology to Hybrid autos IBM, vertical integration ICQ instant messaging Imperialism Income, generational differences Industrialization, and specialization Innovation, and horizontal integration Instant messaging, virtual pipe of Insurance companies, as Thieves Integration, horizontal Intel Intellectual property and horizontal integration and price cuts Intelligence (IQ), parameters of Intelligence at the edge cloud computing in health care social networking Interest rates, and Fed Internet digitized products, lack of protection of evolution of horizontal layers peer to peer (P2P) virtual pipes See also Networks; specific companies Internet stocks Investment capital, money/highest returns connection iPad iPhone iPod iTunes Jenkins, Holman Jobs Creators eliminating with technology licensed occupations replacing with technology Servers Slackers Slimers Sloppers Sponges Super Sloppers Thieves Jobs, Steve Junk bonds Kamangar, Salar Katzenberg, Jeffrey Keynes, John Maynard Kindle Kittler, Fred Kluge, John Lawyers, as Sponges Lehman Brothers bankruptcy Licenses, employment-related LinkedIn Livingston, Robert Longshoremen, as Sloppers McCaw, Craig McKnight, Dr.
Put two microphones instead of one in PCs and cell phones, like the iPhone, and you can get rid of background noise and virtually point the microphones at a speaker to figure out exactly what is being said in the middle of a hurricane. Today’s voice recognition is mostly awful, but that can be solved with not only faster and more powerful devices at the edge of the network but with algorithms and look-up tables to figure out spoken words and context, which will reside in the cloud. The same is going to happen with biotech and personalized medicine. The biotech industry got big creating new drugs that address smaller and smaller markets, but more effectively. But now what? Already there is a proliferation of protein tests and genomic tests that can start to figure out what unique disease and unique type of cancer you might have. The possibility of creating custom drugs is on the horizon, though held in check by Food and Drug Administration rules oriented around treating everyone with the same disease with the same drugs, rather than personalized one-off drugs.
Tools to sequence genes can be harnessed to identify and locate disease, as well as customize treatment. Lying down in giant imagers in specialized hospital rooms will give way to using handheld imagers. Beyond entertainment, this is what anyone with wealth beyond food and shelter spends their dough on. And gladly, if it keeps them ticking. OKAY, AS MUCH as I’m intrigued by personalized technology and personalized medicine, that’s not what I’m really talking about. Those things are in the physical realm. All great stuff, all with enormous productivity possibilities and huge upsides and big pots of wealth in their future. But true adaptive technologies are things that adapt to how you think. This is the big change over the next two decades. This is what a Free Radical will want to harness. Figure out what people want.
The Lucky Years: How to Thrive in the Brave New World of Health by David B. Agus
3D printing, active transport: walking or cycling, Affordable Care Act / Obamacare, Albert Einstein, butterfly effect, clean water, cognitive dissonance, crowdsourcing, Danny Hillis, Drosophila, Edward Lorenz: Chaos theory, en.wikipedia.org, epigenetics, Kickstarter, medical residency, meta analysis, meta-analysis, microbiome, microcredit, mouse model, Murray Gell-Mann, New Journalism, pattern recognition, personalized medicine, phenotype, placebo effect, publish or perish, randomized controlled trial, risk tolerance, statistical model, stem cell, Steve Jobs, Thomas Malthus, wikimedia commons
But I’m also worried that many people won’t benefit from this medical revolution unless they have a certain knowledge base and the tools to take action. At the same time, we also need society to continually and speedily build the framework and allocate resources to enable further changes to occur. I hope this book will help us all do just that. New technologies and constantly emerging data have produced the age of precision medicine, sometimes called personalized medicine. But precision medicine is still stuck in treatment mode—it’s being used primarily to learn how to treat your condition precisely once you have it. It hasn’t moved into the realm of prevention. However, it will, and it will shed the imperfections that distort the field today. For example, a major 2015 report published in the New England Journal of Medicine, one of the best, most respected medical journals in the world, warns that DNA testing results can be dramatically flawed.14 These genetic analyses that profile your DNA are supposed to assess risk for numerous ailments including cancer, heart conditions, and Alzheimer’s disease.
My clinic, for example, and eleven others across the country have teamed up with the IBM supercomputer known as Watson, which is being trained to analyze the genetic data from a patient’s cancer and search the scientific literature to help guide treatments for this patient. As the artificial-intelligence, “cognitive” computer gets more information and learns about matching patients to treatments, Watson helps us realize the goal of truly personalized medicine. The Washington Post summarized the hope perfectly: “And best of all, Watson will continue to learn on the job as it hunts for appropriate oncology treatments. That means that Watson will gain in value and knowledge over time, based on previous interactions with medical practitioners. The more that participating institutions use Watson to assist clinicians in identifying cancer-causing mutations, the more that Watson’s rationale and insights will improve.”5 At one time, we were afraid to have our financial info online or use a computer to transfer money and store our financial data.
Some would say that story exemplifies personalized or precision medicine—the medicine of the future, in which we will tailor treatments to a person’s unique physiology and health condition. But this approach is far from new. From Charaka, the father of ancient Indian practices (Ayurveda) to Hippocrates, the first father of modern medicine, many doctors throughout history have practiced the personalized approach to some degree using available technology for treating a disease. Today, however, personalized medicine is much more precise from a molecular standpoint. It focuses chiefly on DNA and how single-nucleotide polymorphisms (SNPs) and environmental factors influence an individual’s biology and risk for disease. SNPs are variations in DNA sequences that are thought to provide the genetic markers for our response to disease and drugs. For example, a variation on a particular gene may indicate a predisposition for high cholesterol.
A Short Guide to a Long Life by David B. Agus
You can buy or access equipment to take your blood pressure at most pharmacies, and some tools can even be downloaded as an application for your smart phone (see Rule 2). I’m a big believer in what’s called personalized medicine, which means customizing your health care to your specific needs based on your physiology, genetics, value system, and individual circumstances. Medicine is finally at a place where we have the technology to tailor treatment and preventive protocols to an individual, just like a seamstress can tailor a garment to a person’s body. But it all begins with you. You won’t be able to enjoy the benefits of personalized medicine until you take a close look at your unique body. Below is a list of general questions to ask yourself during your personal checkup every couple of months after you’ve completed the intense three-month initiation diary:1 • How would you rank your overall energy levels?
Thank you all for your support, and for spreading my mission to better medicine and our health far and wide. About the Author © PHIL CHANNING Dr. David B. Agus is a professor of medicine and engineering at the University of Southern California Keck School of Medicine and Viterbi School of Engineering and heads USC’s Westside Cancer Center and the Center for Applied Molecular Medicine. He is one of the world’s leading cancer doctors, and the cofounder of two pioneering personalized medicine companies, Navigenics and Applied Proteomics. Dr. Agus is an international leader in new technologies and approaches for personalized health care and a contributor to CBS News. His first book, The End of Illness, became a New York Times #1 bestseller and was also the subject of a PBS special. WWW.DAVIDAGUS.COM @DAVIDAGUS MEET THE AUTHORS, WATCH VIDEOS AND MORE AT SimonandSchuster.com DISCOVER MORE GREAT BOOKS AT authors.simonandschuster.com/David-B-Agus We hope you enjoyed reading this Simon & Schuster eBook
Albert Einstein, algorithmic trading, Amazon Mechanical Turk, Apple's 1984 Super Bowl advert, backtesting, Black Swan, book scanning, bounce rate, business intelligence, business process, call centre, computer age, conceptual framework, correlation does not imply causation, crowdsourcing, dark matter, data is the new oil, en.wikipedia.org, Erik Brynjolfsson, experimental subject, Google Glasses, happiness index / gross national happiness, job satisfaction, Johann Wolfgang von Goethe, Machine translation of "The spirit is willing, but the flesh is weak." to Russian and back, Moneyball by Michael Lewis explains big data, Nate Silver, natural language processing, Netflix Prize, Network effects, Norbert Wiener, personalized medicine, placebo effect, prediction markets, Ray Kurzweil, recommendation engine, risk-adjusted returns, Ronald Coase, Search for Extraterrestrial Intelligence, self-driving car, sentiment analysis, software as a service, speech recognition, statistical model, Steven Levy, text mining, the scientific method, The Signal and the Noise by Nate Silver, The Wisdom of Crowds, Turing test, Watson beat the top human players on Jeopardy!, X Prize, Yogi Berra
In so doing, might such scientifically based, individualized economic policies help resolve the crippling government deadlock that results from the opposing fiscal ideologies currently held by conservative and liberal policymakers? Personalized medicine. While one medical treatment may deliver better results on average than another, this one-size-fits-all approach commonly implemented by clinical studies means treatment decisions that help many may in fact hurt some. In this way, healthcare decisions backfire on occasion, exerting influence opposite to that intended: they hurt or kill—although they kill fewer than following no clinical studies at all. Personalized medicine aims to predict which treatment is best suited for each patient, employing analytical methods to predict treatment impact (i.e., medical influence) similar to the uplift modeling techniques used for marketing treatment decisions.
Revenue from interest payments and savings from fewer defaults Electoral politics Should we market to the constituent/in the state (swing voter/swing state)? Positive votes resulting from political election campaigns (see this chapter’s sidebar for how Obama’s 2012 campaign employed uplift modeling) Sociology Should we provide benefits to this individual? Improved social program outcome: long-term self-sufficiency Personalized medicine Which medical treatment should the patient receive? Favorable patient outcome in clinical healthcare This chapter covers in detail the first two areas in the table above. Here’s a bit more about the rest of them (note that for some of these application areas, no public case studies or proofs of concept yet exist—uplift modeling is an emerging technology). Content and channel selection.
Kim Larsen, “Net Lift Models: Optimizing the Impact of Your Marketing,” Workshop at Predictive Analytics World San Francisco Conference, San Francisco, CA, March 9, 2012. www.predictiveanalyticsworld.com/uplift. Measuring impact in sociology: James J. Heckman and Richard Robb Jr., “Alternative Methods for Evaluating the Impact of Interventions: An Overview,” Journal of Econometrics 30, issues 1–2 (October–November 1985): 239–267. http://faculty.smu.edu/millimet/classes/eco7377/papers/heckman%20robb.pdf. Personalized medicine: Brian Claggett, Lihui Zhao, Lu Tian, Davide Castagno, and L. J. Wei, “Estimating Subject-Specific Treatment Differences for Risk-Benefit Assessment with Competing Risk Event-Time Data,” Harvard University Biostatistics Working Paper Series, Working Paper 125, March 2011. biostats.bepress.com/harvardbiostat/paper125. Ross E. McKinney Jr., MD, George M. Johnson, MD, Kenneth Stanley, MD, Florence H.
23andMe, 8-hour work day, Albert Einstein, Anne Wojcicki, artificial general intelligence, attribution theory, Bill Joy: nanobots, bioinformatics, Clayton Christensen, dark matter, East Village, en.wikipedia.org, epigenetics, Frank Gehry, Googley, income per capita, indoor plumbing, Jeff Bezos, Johann Wolfgang von Goethe, Law of Accelerating Returns, life extension, personalized medicine, Peter Thiel, placebo effect, post scarcity, Ray Kurzweil, rolodex, Silicon Valley, Simon Kuznets, Singularitarianism, smart grid, speech recognition, stem cell, Stephen Hawking, Steve Jobs, Steve Wozniak, Steven Levy, Thomas Malthus, upwardly mobile, World Values Survey, X Prize
It took only sixteen years, however, for one-quarter of American households to get a personal computer, thirteen years for a cell phone, and seven years for Internet access, a promising trend for those who wish to see the widespread use of longevity technologies because health technologies are fast becoming information technologies.44 As we learned in Chapter 2, genomics, which will help usher in personalized medicine, already shows positive signs because costs are dropping at lightning speeds. “Biotech has gone exponential, like Moore’s law,” notes Andrew Hessel, a well-known synthetic biologist and cofounder of the Pink Army Cooperative, the world’s first cooperative biotechnology company. 45 At the time of the writing of this book, advances in biotech were moving faster than Moore’s law, according to which the number of transistors on an integrated circuit doubles approximately every two years.
Connected to the cause by Diamandis, both Hawking and King act as salespeople for the cause.28 For instance, Hawking says, “You may know that I am suffering from what is known as Amyotrophic Lateral Sclerosis (ALS), or Lou Gehrig’s Disease, which is thought to have a genetic component to its origin. It is for this reason that I am a supporter of the $10M Archon Genomics X PRIZE to drive rapid human genome sequencing. This prize and the resulting technology can help bring about an era of personalized medicine.”29 Larry King goes straight to the point when he asks, “What if we could learn how to stop heart disease from happening? What if we were able to reduce a person’s likelihood of cardiovascular disease based on his or her genetic profile, as well as on the individual’s age, gender, and lifestyle?”30 King continues, “It is my hope that by supporting the Archon Genomics X PRIZE to drive rapid human genome sequencing that we can get answers to these questions and help our Foundation save more lives in the years to come.”31 The message is that healthy life extension is possible, and the Genomics X PRIZE is contributing to achieving that goal.
Through Google, Larry Page has given over $250,000 to Singularity University and has said that if he were a student, SU is where he’d want to be.67 Interestingly, his wife, Lucy Southworth, is a biologist who has written papers on aging issues, including one titled “Effects of Aging on Mouse Transcriptional Networks,” coauthored with Stanford’s Dr. Stuart K. Kim, who is a well-known aging expert and one of Larry Ellison’s award recipients.68 Sergey Brin is spreading the meme in a more personal way. 23andMe is a genomics company that was cofounded by Brin’s biologist wife, Anne Wojcicki, and has gone a long way toward popularizing the idea of personalized medicine. “Spit parties” are one of the cute marketing techniques the company uses to get the public interested in thinking about their DNA and how it might be fixed to cure disease. One high-profile party took place during New York City’s Fashion Week. Company staffers recounted the event on their blog, saying, “23andMe managed to lure a few hundred people away from the catwalks Tuesday night to consider the beauty that lies within—DNA.
Tomorrowland: Our Journey From Science Fiction to Science Fact by Steven Kotler
Albert Einstein, autonomous vehicles, barriers to entry, Burning Man, carbon footprint, Colonization of Mars, crowdsourcing, Dean Kamen, epigenetics, gravity well, haute couture, interchangeable parts, Kevin Kelly, life extension, Louis Pasteur, North Sea oil, Oculus Rift, oil shale / tar sands, peak oil, personalized medicine, Peter H. Diamandis: Planetary Resources, RAND corporation, Ray Kurzweil, Richard Feynman, Richard Feynman, Ronald Reagan, self-driving car, stem cell, Stephen Hawking, Stewart Brand, theory of mind, Watson beat the top human players on Jeopardy!, Whole Earth Catalog, WikiLeaks
Today’s chemotherapies are offshoots of chemical warfare agents; we’ve turned weapons into cancer medicines, albeit crude ones. As with carpet bombing, collateral damage is a given. Now, because of advances in genetics, we know that each cancer is unique, and research is shifting to the development of personalized medicines — designer therapies that can exterminate specific cancerous cells in a specific way, in a specific person. Forget collateral damage, these therapies are focused like lasers. The Finnish pharmaceutical Oncos Therapuetics has treated over two hundred patients using just such methods. But it wouldn’t take much at all to subvert them, turning personalized medicines into personalized weapons. In the coming years, criminals will doubtless dedicate significant resources to exploiting these biological advances, just as they’ve exploited a panoply of earlier technologies. Today biocrime is in its infancy.
Thus fields with a huge potential to drive techno-physio evolution — artificial intelligence, nanotechnology, biology, robotics, networks, sensors, etc. — are now advancing along exponential growth curves. Consider genomic sequencing, long touted as the “essential tool” needed to move medicine from standardized and reactive to personalized and preventative. In 1990, when the Human Genome Project was first announced, the cost of this tool was budgeted at $3 billion — about as far from personalized medicine as one can get. But by 2001, costs were down to $300 million. By 2010, they were below $5,000. In 2012, the $1,000 barrier had fallen. Within ten years, at the current rate of decline, a fully sequenced human genome will price out at less than $10. If standardized and reactive medicine managed to double human life span in a century, just imagine how far personalized and preventative medicine might extend that total.
Albert Einstein, Berlin Wall, bioinformatics, borderless world, British Empire, Buckminster Fuller, double helix, global village, half of the world's population has never made a phone call, Howard Rheingold, Jeff Bezos, Joseph Schumpeter, Kevin Kelly, knowledge economy, more computing power than Apollo, new economy, personalized medicine, purchasing power parity, Ray Kurzweil, Richard Feynman, Richard Feynman, Search for Extraterrestrial Intelligence, SETI@home, Silicon Valley, spice trade, stem cell
Then Milton Wright went home to care for his two children … Wilbur and Orville … Bicycle mechanics … Who used “Pride of the West” ladies’ underwear cloth … To cover the wings … Of the world’s first airplane.11 Gene chips will lead to personalized medicine … You will be able to test whether one medicine or another works better for you … Before you take it. You cannot do that today … Which is why when you buy a drug … And open the box … The first thing you get … Is a long list of the ways in which … The prescription you paid for … May hurt you.12 (I.e., this medicine may cause bleeding, cramps, dry mouth, impotence, insomnia, irritability, nausea, and other fun stuff.) Thalidomide is one example of highly personalized medicine … Few images are as devastating as the pictures of deformed children published in Life … Caused by prescribing a “safe sedative” to pregnant women.
Blockchain: Blueprint for a New Economy by Melanie Swan
23andMe, Airbnb, altcoin, Amazon Web Services, asset allocation, banking crisis, bioinformatics, bitcoin, blockchain, capital controls, cellular automata, central bank independence, clean water, cloud computing, collaborative editing, Conway's Game of Life, crowdsourcing, cryptocurrency, disintermediation, Edward Snowden, en.wikipedia.org, ethereum blockchain, fault tolerance, fiat currency, financial innovation, Firefox, friendly AI, Hernando de Soto, Internet Archive, Internet of things, Khan Academy, Kickstarter, litecoin, Lyft, M-Pesa, microbiome, Network effects, new economy, peer-to-peer lending, personalized medicine, post scarcity, prediction markets, ride hailing / ride sharing, Satoshi Nakamoto, Search for Extraterrestrial Intelligence, SETI@home, sharing economy, Skype, smart cities, smart contracts, smart grid, software as a service, technological singularity, Turing complete, unbanked and underbanked, underbanked, web application, WikiLeaks
Operating in collaboration with university collaborators (Baylor College of Medicine’s Human Genome Sequencing Center) and Amazon Web Services, the DNAnexus solution is perhaps the largest current data store of genomes, having 3,751 whole human genomes and 10,771 exomes (440 terabytes) as of 2013.147 The progress to date is producing a repository of 4,000 human genomes, out of the possible field of 7 billion humans, which highlights the need for large-scale models in these kinds of big data projects (human whole-genome sequencing). The DNAnexus database is not a public good with open access; only 300 worldwide preapproved genomic researchers have permission to use it. The Genomic Data Commons148 is a US-government-funded large-scale data warehouse and computational computing project being assembled to focus on genomic research and personalized medicine. In this case, the resource is said to be available to any US-based researcher. This is a good step forward in organizing data into standard unified repositories and allowing access to a certain population. A further step could be using an appcoin like Genomecoin to expand access on a grander scale as a public good fully accessible by any individual worldwide. Further, the appcoin could be the tracking, coordination, crediting, and renumerative mechanism sponsoring collaboration in the Genome Data Commons community.
“Sales of Genetic Scans Direct to Consumer Through deCODEme Have Been Discontinued! Existing Customers Can Access Their Results Here Until January 1st 2015.” http://en.wikipedia.org/wiki/DeCODE_genetics. 143 Castillo, M. “23andMe to Only Provide Ancestry, Raw Genetics Data During FDA Review.” CBS News, December 6, 2013. http://www.cbsnews.com/news/23andme-to-still-provide-ancestry-raw-genetics-data-during-fda-review/. 144 Swan, M. “Health 2050: The Realization of Personalized Medicine Through Crowdsourcing, the Quantified Self, and the Participatory Biocitizen.” J Pers Med 2, no. 3 (2012): 93–118. 145 ———. “Multigenic Condition Risk Assessment in Direct-to-Consumer Genomic Services. Genet Med 12, no. 5 (2010): 279–88; Kido, T. et al. “Systematic Evaluation of Personal Genome Services for Japanese Individuals.” Nature: Journal of Human Genetics 58 (2013):734–41. 146 Tamblyn, T.
50 Future Ideas You Really Need to Know by Richard Watson
23andMe, 3D printing, access to a mobile phone, Albert Einstein, artificial general intelligence, augmented reality, autonomous vehicles, BRICs, Buckminster Fuller, call centre, clean water, cloud computing, collaborative consumption, computer age, computer vision, crowdsourcing, dark matter, dematerialisation, digital Maoism, Elon Musk, energy security, failed state, future of work, Geoffrey West, Santa Fe Institute, germ theory of disease, happiness index / gross national happiness, hive mind, hydrogen economy, Internet of things, Jaron Lanier, life extension, Marshall McLuhan, megacity, natural language processing, Network effects, new economy, oil shale / tar sands, pattern recognition, peak oil, personalized medicine, phenotype, precision agriculture, profit maximization, RAND corporation, Ray Kurzweil, RFID, Richard Florida, Search for Extraterrestrial Intelligence, self-driving car, semantic web, Skype, smart cities, smart meter, smart transportation, statistical model, stem cell, Stephen Hawking, Steve Jobs, Steven Pinker, Stewart Brand, strong AI, Stuxnet, supervolcano, telepresence, The Wisdom of Crowds, Thomas Malthus, Turing test, urban decay, Vernor Vinge, Watson beat the top human players on Jeopardy!, web application, women in the workforce, working-age population, young professional
First, many drugs are starting to fall out of patent restrictions, and generic drug makers (particularly in Asia) are becoming more aggressive about attacking patents so that generic “lookalike” drugs are getting to be cheaper and more commonplace. The second reason for the trend is technology. Developments in areas such as genomics and personal phenotyping mean that personalized medicine is becoming a reality, and pharmaceutical companies are shifting research and development expenditure toward specialty products and therapies that target niche medical conditions and subpopulations. A 9 million euro, EU-funded project, Food4Me, is being launched to look at all aspects of personalized nutrition—namely how food intake could be tailored to suit each individual’s physical and genetic makeup. Perhaps rather than call it personalized medicine, we should call it personalized health. There’s even a European study on delivering personalized nutrition according to phenotype. In the end, it really is up to you to look after yourself by whatever method you choose from the hundreds of possibilities available so that you don’t need medicine.
The Human Age: The World Shaped by Us by Diane Ackerman
23andMe, 3D printing, additive manufacturing, airport security, Albert Einstein, augmented reality, back-to-the-land, carbon footprint, clean water, dark matter, dematerialisation, double helix, Drosophila, epigenetics, Google Earth, Google Glasses, haute cuisine, Internet of things, Loebner Prize, Louis Pasteur, Masdar, megacity, microbiome, nuclear winter, personalized medicine, phenotype, Ray Kurzweil, refrigerator car, Search for Extraterrestrial Intelligence, SETI@home, skunkworks, Skype, stem cell, Stewart Brand, the High Line, theory of mind, urban planning, urban renewal, Whole Earth Catalog
“We’re in the midst of probably the biggest revolution in biology,” says Mark Mehler, chair of the Department of Neurology at Albert Einstein College of Medicine. “It’s forever going to transform the way we understand genetics, environment, the way the two interact, what causes disease. It’s another level of biology, which for the first time really is up to the task of explaining the biological complexity of life.” “The Human Genome Project was supposed to usher in a new era of personalized medicine,” Mehler told the American Academy of Neurology at its annual meeting in 2011. “Instead, it alerted us to the presence of a second, more sophisticated genome that needed to be studied.” Despite the DNA of twins, for example, they’re never perfect matches. If one has schizophrenia, the odds of her twin developing it are only 50 percent, not 100 percent as one might assume since they have identical genes.
I was bottle-fed formula, but breast-milk-fed babies grow stronger immune systems because breast milk, often the first source of nourishment, teems with more than seven hundred species of hubbub-loving, life-enhancing bacteria. Researchers are thinking of cobbling them into infant formula to help ward off asthma, allergies, and such autoimmune triggermen as diabetes, eczema, and multiple sclerosis. Babies pick up other useful bacteria in Mom’s dirt-and-crumb-garlanded home and landscape. At least, they should. Doctors are embracing the idea of personalized medicine based on a patient’s uniquely acquired flora and fauna, as revealed in his or her genome, epigenome, and microbiome. No more antibiotics prescribed by the jeroboam on the off chance they might prove useful. Instead, try unleashing enough beneficial bacteria to crowd out the pathogen. No more protecting children from the hefty stash of derring-do white-knight bacteria they need but we’ve learned to regard as icky.
3D printing, A Declaration of the Independence of Cyberspace, AI winter, Airbnb, Albert Einstein, Amazon Web Services, augmented reality, bank run, barriers to entry, Baxter: Rethink Robotics, bitcoin, blockchain, book scanning, Brewster Kahle, Burning Man, cloud computing, computer age, connected car, crowdsourcing, dark matter, dematerialisation, Downton Abbey, Edward Snowden, Elon Musk, Filter Bubble, Freestyle chess, game design, Google Glasses, hive mind, Howard Rheingold, index card, indoor plumbing, industrial robot, Internet Archive, Internet of things, invention of movable type, invisible hand, Jaron Lanier, Jeff Bezos, job automation, Kevin Kelly, Kickstarter, linked data, Lyft, M-Pesa, Marshall McLuhan, means of production, megacity, Minecraft, multi-sided market, natural language processing, Netflix Prize, Network effects, new economy, Nicholas Carr, peer-to-peer lending, personalized medicine, placebo effect, planetary scale, postindustrial economy, recommendation engine, RFID, ride hailing / ride sharing, Rodney Brooks, self-driving car, sharing economy, Silicon Valley, slashdot, Snapchat, social graph, social web, software is eating the world, speech recognition, Stephen Hawking, Steven Levy, Ted Nelson, the scientific method, transport as a service, two-sided market, Uber for X, Watson beat the top human players on Jeopardy!, Whole Earth Review
Every day the machine mixes the right doses of all the powders and stuffs them all into a single personalized pill (or two), which I take. During the day my biological vitals are tracked with wearable sensors so that the effect of the medicine is measured hourly and then sent to the cloud for analysis. The next day the dosage of the medicines is adjusted based on the past 24-hour results and a new personalized pill produced. Repeat every day thereafter. This appliance, manufactured in the millions, produces mass personalized medicine. My personal avatar is stored online, accessible to any retailer. It holds the exact measurements of every part and curve of my body. Even if I go to a physical retail store, I still try on each item in a virtual dressing room before I go because stores carry only the most basic colors and designs. With the virtual mirror I get a surprisingly realistic preview of what the clothes will look like on me; in fact, because I can spin my simulated dressed self around, it is more revealing than a real mirror in a dressing room.
The average normal is not very useful to you specifically. But with long-term self-tracking, you’d arrive at a very personal baseline—your normal—which becomes invaluable when you are not feeling well, or when you want to experiment. The achievable dream in the near future is to use this very personal database of your body’s record (including your full sequence of genes) to construct personal treatments and personalized medicines. Science would use your life’s log to generate treatments specifically for you. For instance, a smart personalized pill-making machine in your home (described in Chapter 7) would compound medicines in the exact proportions for your current bodily need. If the treatment in the morning eased the symptoms, the dosage in the evening would be adjusted by the system. The standard way of doing medical research today is to run experiments on as many subjects as one possibly can.
23andMe, 3D printing, Affordable Care Act / Obamacare, Anne Wojcicki, Atul Gawande, augmented reality, bioinformatics, call centre, Clayton Christensen, clean water, cloud computing, computer vision, conceptual framework, connected car, correlation does not imply causation, crowdsourcing, dark matter, data acquisition, disintermediation, don't be evil, Edward Snowden, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, Firefox, global village, Google Glasses, Google X / Alphabet X, Ignaz Semmelweis: hand washing, interchangeable parts, Internet of things, Isaac Newton, job automation, Joseph Schumpeter, Julian Assange, Kevin Kelly, license plate recognition, Lyft, Mark Zuckerberg, Marshall McLuhan, meta analysis, meta-analysis, microbiome, Nate Silver, natural language processing, Network effects, Nicholas Carr, obamacare, pattern recognition, personalized medicine, phenotype, placebo effect, RAND corporation, randomized controlled trial, Second Machine Age, self-driving car, Silicon Valley, Skype, smart cities, Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia, Snapchat, social graph, speech recognition, stealth mode startup, Steve Jobs, the scientific method, The Signal and the Noise by Nate Silver, The Wealth of Nations by Adam Smith, Turing test, Uber for X, Watson beat the top human players on Jeopardy!, X Prize
There is indeed now a “race against machines” that is pervasive, and it would be naïve to think that medicine is immune from the impact.6 The medical thriller novelist and physician Robin Cook wrote Cell, his thirty-third book, about iDoc—“a smartphone functioning as a twenty-first-century primary-care physician,”7 an avatar doctor equipped with algorithms to “create a true ersatz physician on duty twenty-four-seven for a particular individual, truly personalized medicine.”7 Each individual signing up selects an avatar doctor, choosing their gender, attitude, whether they are paternal or maternal in tone, and how they want to be notified. The system involves a remote command center staffed with hundreds of physicians who work four-hour shifts to keep them mentally crisp, and a supercomputer that, in real time, continuously monitors extensive physiological data on all iDoc users.
Proctor Harvey, one of the most well-regarded bedside cardiologists. Here is what Dr. Knowlan, age eighty-six, included in his address to the incoming students: But what can you, the class of 2017, expect? In a recent thought-provoking book, The Creative Destruction of Medicine . . . [Topol] anticipate[d] future changes in the health care delivery system. He commented on changes such as use of smartphones for complex diagnostic challenges and personalized medicine with use of genetic information. He even suggested that the stethoscope, so revered here at Georgetown, will be replaced by a handheld ultrasound device. He admitted to not using his own stethoscope for over 2 years, which suggests to me he never learned to use it properly and appreciate its value. Despite all these future advances, he probably hardly scratches the surface.114 I’ve never met Dr.
airport security, Albert Einstein, Berlin Wall, big-box store, clean water, cognitive dissonance, Edward Snowden, facts on the ground, failed state, illegal immigration, Internet Archive, Mark Zuckerberg, pattern recognition, Peace of Westphalia, personalized medicine, RAND corporation, Silicon Valley, South China Sea, Turing test, unemployed young men, Wall-E, War on Poverty, WikiLeaks
As former Air Force deputy judge advocate general Charles Dunlap notes in a recent article on what he calls “the hyper-personalization of war,” these capabilities are rapidly being militarized: “In the not-too distant future, the U.S. military—and likely other militaries—will be able to launch swarms of drones equipped with facial recognition software to roam battlefields looking for very specific members of an enemy’s force.”2 In the bioscience world, breakthroughs in our understanding of genetics are opening up the possibility of personalized medicine: cancer treatments tailored to a specific person’s genetic code, for instance. But the same discoveries that may soon allow doctors to tailor life-saving treatments to the needs of specific individuals may also allow the development of DNA-linked bioweapons: a virus designed to disable or kill only a specific individual. In some ways, the individualization of warfare may be a good thing.
., 72, 147, 389 Padilla, Jose, 33 Pakistan, 5–6, 12, 60, 226, 349 U.S. drone strikes in, 106–7, 113 U.S. military intervention in, 251 Pakistani Taliban, 278, 279 Paleolithic period, 264 Panetta, Leon, 119–20 Papua New Guinea, 9, 21, 175, 350 Paris Declaration (1856), 49 pattern analysis, 303, 304, 414 peace: blurred line between war and, 8–9, 13, 21–24, 35–36, 141, 143, 148, 213, 225, 267, 273, 276, 305, 333, 334, 338, 341–42, 343, 345, 350, 351, 366 as exception in history, 348–49, 352 “space between” war and, 352–54 Pearl Harbor, Japanese attacks on, 11 Pentagon: as physical environment, 39–40 see also Defense Department, U.S.; September 11, 2001, terrorist attacks People’s Liberation Army, Chinese, 10 Perino, Dana, 61 Perry, John, 299 Persia, ancient, 255 personalized medicine, 132 Peru, 173–74 Petraeus, David, 5, 66, 94 Phase Zero, 7, 82, 143–44, 148–49 Philippines, 12, 349 Phillips, Richard, 40 Pilica, Bosnia, 206 Pinochet, Augusto, 271–72, 273 pirates, piracy: Barbary coast and, 47–49 Defense Department policy on, 42–45 international law and, 42–43, 49 Maersk Alabama seized by, 40–41, 45 state-sponsored, 47–49 “PlayStation mentality,” 109–10 plebes, 182 policing: civil liberties and, 354 war on terror and, 298–99 policymakers, misunderstanding and mistrust between military and, 305–6, 362 “Politics of the Geneva Conventions, The” (conference), 199 polonium-210, 273 population, global, 262 post-traumatic stress disorder (PTSD), of drone pilots, 110 Power, Matthew, 115 Power, Samantha, 67, 234 power grid, cyberattacks on, 11 precision weapons, 129 Predator drones, 105, 106, 112, 135, 199 president, U.S.: constitutional powers of, 294 inherent powers of, 200, 202 preventive detention, 63–65, 66–67 rule of law and, 63–64, 65 Prins, Brandon, 46 prisoners of war, 63 privacy, war on terror and, 303–4 private contractors: laws of war and, 123 U.S. reliance on, 123–24, 258, 326 war on terror and, 297–98, 300 Problem from Hell, A (Power), 234 “proportionality,” in law of armed conflict, 196–97 proportionality, principle of, 288, 405 Pro Publica, 119 proxy conflicts, 339, 349 Pruitt, Gary, 304 public education, 322 Public Interest Declassification Board (PIDB), 126 Purchas, Samuel, 256–57 Putin, Vladimir, 273, 280 Qiao Liang, 10, 11, 12, 22, 341 RAF, see regionally aligned forces Railway Wood, Battle of (1916), 114 Ramallah, West Bank, 242 Rasul v.
Big Data Analytics: Turning Big Data Into Big Money by Frank J. Ohlhorst
algorithmic trading, bioinformatics, business intelligence, business process, call centre, cloud computing, create, read, update, delete, data acquisition, DevOps, fault tolerance, linked data, natural language processing, Network effects, pattern recognition, performance metric, personalized medicine, RFID, sentiment analysis, six sigma, smart meter, statistical model, supply-chain management, Watson beat the top human players on Jeopardy!, web application
It is the platform of Big Data that is making such lofty goals attainable. The validation of Big Data analytics can be illustrated by advances in science. The biomedical corporation Bioinformatics recently announced that it has reduced the time it takes to sequence a genome from years to days, and it has also reduced the cost, so it will be feasible to sequence an individual’s genome for $1,000, paving the way for improved diagnostics and personalized medicine. The financial sector has seen how Big Data and its associated analytics can have a disruptive impact on business. Financial services firms are seeing larger volumes through smaller trading sizes, increased market volatility, and technological improvements in automated and algorithmic trading. DATA AND DATA ANALYSIS ARE GETTING MORE COMPLEX One of the surprising outcomes of the Big Data paradigm is the shift of where the value can be found in the data.
The best way to deal with “traveler’s D” is to simply keep well hydrated and eat bland foods (rice, bread, yogurt) for a few days, until it improves. If any kind of sickness persists for more than a few days, it can’t hurt to relate your symptoms to a local doctor or pharmacist. Most will be familiar with local maladies and happy to set you up with inexpensive prescriptions for whatever ails you. (Of course, a small first-aid kit full of bandages, antiseptic, painkillers, and personal medicines should already be a part of your travel gear.) If your sickness threatens to get serious, make your way to a major city and check into a modern hospital. Crime and scams are common wherever travelers are found, though they are generally no more dangerous than the average annoyances in your hometown. All it takes to avoid such theft is a little awareness. Many local scams are detailed in guidebooks, for example, so be sure to study up whenever you arrive in a new region.
The Fourth Industrial Revolution by Klaus Schwab
3D printing, additive manufacturing, Airbnb, Amazon Mechanical Turk, Amazon Web Services, augmented reality, autonomous vehicles, barriers to entry, Baxter: Rethink Robotics, bitcoin, blockchain, Buckminster Fuller, call centre, clean water, collaborative consumption, conceptual framework, continuous integration, crowdsourcing, disintermediation, distributed ledger, Edward Snowden, Elon Musk, epigenetics, Erik Brynjolfsson, future of work, global value chain, Google Glasses, income inequality, Internet Archive, Internet of things, invention of the steam engine, job automation, job satisfaction, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, life extension, Lyft, megacity, meta analysis, meta-analysis, more computing power than Apollo, mutually assured destruction, Narrative Science, Network effects, Nicholas Carr, personalized medicine, precariat, precision agriculture, Productivity paradox, race to the bottom, randomized controlled trial, reshoring, RFID, rising living standards, Second Machine Age, secular stagnation, self-driving car, sharing economy, Silicon Valley, smart cities, smart contracts, software as a service, Stephen Hawking, Steve Jobs, Steven Levy, Stuxnet, The Spirit Level, total factor productivity, transaction costs, Uber and Lyft, Watson beat the top human players on Jeopardy!, WikiLeaks, winner-take-all economy, women in the workforce, working-age population, Y Combinator, Zipcar
In much the same process as for printed objects, an organ is printed layer by layer from a digital 3D model.97 The material used to print an organ would obviously be different from what is used to print a bike, and experimenting can be done with the kinds of materials that will work, such as titanium powder for making bones. 3D printing has great potential to service custom design needs; and, there is nothing more custom than a human body. Positive impacts – Addressing the shortage of donated organs (an average of 21 people die each day waiting for transplants that can’t take place because of the lack of an organ)98 – Prosthetic printing: limb/body part replacements – Hospitals printing for each patient requiring surgery (e.g. splints, casts, implants, screws) – Personalized medicine: 3D printing growing fastest where each customer needs a slightly different version of a body part (e.g. a crown for a tooth) – Printing components of medical equipment that are difficult or expensive to source, such as transducers99 – Printing, for example, dental implants, pacemakers and pens for bone fracture at local hospitals instead of importing them, to reduce the cost of operations – Fundamental changes in drug testing, which can be done on real human objects given the availability of fully printed organs – Printing of food, thus improving food security Negative impacts – Uncontrolled or unregulated production of body parts, medical equipment or food – Growth in waste for disposal, and further burden on the environment – Major ethical debates stemming from the printing of body parts and bodies: Who will control the ability to produce them?
The Numerati by Stephen Baker
Berlin Wall, Black Swan, business process, call centre, correlation does not imply causation, Drosophila, full employment, illegal immigration, index card, Isaac Newton, job automation, job satisfaction, McMansion, natural language processing, PageRank, personalized medicine, recommendation engine, RFID, Silicon Valley, Skype, statistical model, Watson beat the top human players on Jeopardy!
In many ways, these promises of preventive care echo others coming from genomics laboratories, another growing empire for the Numerati. In universities and pharmaceutical labs around the world, computer scientists and computational biologists are designing algorithms to sift through billions of gene sequences, looking for links between certain genetic markers and diseases. The goal is to help us sidestep the diseases we're most likely to contract and to provide each one of us with a cabinet of personalized medicines. Each one should include just the right dosage and the ideal mix of molecules for our bodies. Between these two branches of research, genetic and behavioral, we're being parsed, inside and out. Even the language of the two fields is similar. In a nod to geneticists, Dishman and his team are working to catalog what they call our "behavioral markers." The math is also about the same. Whether they're scrutinizing our strands of DNA or our nightly trips to the bathroom, statisticians are searching for norms, correlations, and anomalies.
Successful examples exist for complex diseases never previously understood through “omics” medicine, including genomics (genes and related nucleic acids in the nucleus), transcriptomics (various mRNA levels in tissues), proteomics (different levels of proteins and their interactions in relevant tissues), and metabolomics (blood and urine levels of several thousand hormones, metabolites, sugar, etc., and their dynamic interactions over time). Personal genomics and personalized medicine emerge as new feasible applications and not only as future possibilities, thanks to the developments in analyzing genomes and complex traits and visualizing these results into a unified framework. In any case, it would be a while before someone took the time to give my genes a good looking-over. In the years between sending my blood sample and receiving my genetic results, I did consider now and again what the genetics results might tell me about what my brain scans meant.
Where Does It Hurt?: An Entrepreneur's Guide to Fixing Health Care by Jonathan Bush, Stephen Baker
Affordable Care Act / Obamacare, Atul Gawande, barriers to entry, Clayton Christensen, informal economy, inventory management, job automation, knowledge economy, obamacare, personalized medicine, ride hailing / ride sharing, Ronald Reagan, Silicon Valley, Steve Jobs, web application, women in the workforce, working poor
If a drug works for certain people, or under certain conditions, researchers combing through the data should be able to identify niche markets for it. Think of the possibilities. For every medicine that makes it from the laboratory to the pharmacy shelf, 999 fail, some of them in the second, third, or fourth stage of testing—in other words, after being deemed safe. Some of those drugs too could be placed on the market, where consumers participate in a kind of informal laboratory. This could be one of the pathways leading toward personalized medicine. A lot of those researchers will be amateurs, compiling data on wikis, writing their conclusions on blogs, or debating them on social networks. In this way, they will not only carry out the experiments but also handle lots of the research and analysis. (They won’t replace all of the professionals, but will force them to adapt to a widening market.) Engaged health care citizens will also be researching hospitals and urgent care centers.
agricultural Revolution, Anne Wojcicki, Any sufficiently advanced technology is indistinguishable from magic, carbon footprint, Cass Sunstein, clean water, Drosophila, food miles, invention of gunpowder, out of africa, personalized medicine, placebo effect, profit motive, randomized controlled trial, Richard Feynman, Richard Feynman, Richard Feynman: Challenger O-ring, Ronald Reagan, Simon Singh, Skype, stem cell, Ted Kaczynski, the scientific method, Thomas Malthus, Upton Sinclair, X Prize
You can’t look at the data and make those assumptions,” Burchard said. “But if reality upsets people, they will simply look in another direction. People deny what makes them uncomfortable, and many—even in my business—say we shouldn’t use the word ‘race’ at all.” It has never been easy to invoke the subject of race in America. Discrimination has long been as obvious in medicine as in other areas of society. In the era of personalized medicine, where relevant new information seems to appear daily, the issue has become more volatile than ever. At many meetings where race and genetics are discussed, researchers spend as much time debating semantics as they do discussing scientific results. (In 2008, one participant at a National Institutes of Health conference on genomics and race argued that not only is the term “race” unacceptable, but so is the term “Caucasian,” because it implies racial rather than geographic ancestry.)
23andMe, Affordable Care Act / Obamacare, Albert Einstein, big data - Walmart - Pop Tarts, bioinformatics, business intelligence, call centre, cloud computing, computer age, conceptual framework, Credit Default Swap, crowdsourcing, Daniel Kahneman / Amos Tversky, Danny Hillis, data is the new oil, David Brooks, East Village, Edward Snowden, Emanuel Derman, Erik Brynjolfsson, everywhere but in the productivity statistics, Frederick Winslow Taylor, Google Glasses, impulse control, income inequality, indoor plumbing, industrial robot, informal economy, Internet of things, invention of writing, John von Neumann, Mark Zuckerberg, market bubble, meta analysis, meta-analysis, natural language processing, obamacare, pattern recognition, payday loans, personalized medicine, precision agriculture, pre–internet, Productivity paradox, RAND corporation, rising living standards, Robert Gordon, Second Machine Age, self-driving car, Silicon Valley, Silicon Valley startup, six sigma, skunkworks, speech recognition, statistical model, Steve Jobs, Steven Levy, The Design of Experiments, the scientific method, Thomas Kuhn: the structure of scientific revolutions, unbanked and underbanked, underbanked, Von Neumann architecture, Watson beat the top human players on Jeopardy!
It is the industrial machinery equivalent to Google Now, a predictive search service for mobile devices, including Google glasses, that presents driving directions, recommendations for nearby restaurants, sports scores for teams you follow, based on your location, your interests, and what you’ve done in the past—the context of your life. GE wants to push contextual computing in the machine world to another dimension. Most of the current focus has been on gathering data from machines to learn about them—to reduce lost operating time by applying data-driven preventive maintenance. With machines, as with vineyards, the comparison typically offered is to preventive and personalized medicine. You can prevent machine failures with tailored treatment, informed by data. But the next step is technology to enable the machines themselves to learn about their environment and adapt to it. Take the case of a jet engine on an airliner whose route takes it to different climates, like flying from Arizona to Canada. The temperatures, humidity, and air density, for example, are usually very different in those locations.
MacroWikinomics: Rebooting Business and the World by Don Tapscott, Anthony D. Williams
accounting loophole / creative accounting, airport security, Andrew Keen, augmented reality, Ayatollah Khomeini, barriers to entry, bioinformatics, Bretton Woods, business climate, business process, car-free, carbon footprint, citizen journalism, Clayton Christensen, clean water, Climategate, Climatic Research Unit, cloud computing, collaborative editing, collapse of Lehman Brothers, collateralized debt obligation, colonial rule, corporate governance, corporate social responsibility, crowdsourcing, death of newspapers, demographic transition, distributed generation, don't be evil, en.wikipedia.org, energy security, energy transition, Exxon Valdez, failed state, fault tolerance, financial innovation, Galaxy Zoo, game design, global village, Google Earth, Hans Rosling, hive mind, Home mortgage interest deduction, interchangeable parts, Internet of things, invention of movable type, Isaac Newton, James Watt: steam engine, Jaron Lanier, jimmy wales, Joseph Schumpeter, Julian Assange, Kevin Kelly, knowledge economy, knowledge worker, Marshall McLuhan, medical bankruptcy, megacity, mortgage tax deduction, Netflix Prize, new economy, Nicholas Carr, oil shock, online collectivism, open borders, open economy, pattern recognition, peer-to-peer lending, personalized medicine, Ray Kurzweil, RFID, ride hailing / ride sharing, Ronald Reagan, scientific mainstream, shareholder value, Silicon Valley, Skype, smart grid, smart meter, social graph, social web, software patent, Steve Jobs, text mining, the scientific method, The Wisdom of Crowds, transaction costs, transfer pricing, University of East Anglia, urban sprawl, value at risk, WikiLeaks, X Prize, young professional, Zipcar
You can search the site by pollutant, industry, and hazard level. Or simply type in a zip code and pull up a list of polluters in their neighborhood. Data sharing also drives economic opportunity and, on occasions, has been known to spark new growth industries. When the National Institutes of Health released data from the Human Genome Project it spurred massive innovation around a new era of personalized medicine. President Reagan’s directive to provide free and open access to the Defense Department’s GPS signals gave rise to a plethora of commercial uses ranging from mapmaking, land surveying, scientific analysis, and surveillance to hobbies such as geo-caching and waymarking. The Obama administration hopes Data.gov—an open hub for federal data—will amplify and accelerate this tradition of innovation.
Just over 59 percent of obese Americans exercised at least one day per week, compared to 70 percent of overweight people, and 74 percent of healthy-weight people. Obese people are less likely than people in every other weight category (overweight, normal weight, underweight) to have eaten five servings of fruits and vegetables on at least three days of the past seven. Obese Americans also are less likely to say they ate healthy “all day yesterday.” 19. Thomas Goetz, The Decision Tree: Taking Control of Your Health in the New Era of Personalized Medicine (Rodale Books, 2010), p. 238. 20. M. Kwan and N. Haque, “Sermo and PatientsLikeMe: A Revolution in Collaborative Healthcare,” Enterprise 2.0 Lighthouse Case Study, nGenera Corporation (2008). 21. Ibid. 22. Ibid. 23. Ibid. 24. “Social Networking May Benefit Patients with Common Skin Disease,” Center for Connected Health (January 21, 2009). 25. Ibid. 26. “Testimonials,” WeAre.Us (accessed May 15, 2010). 27.
The Future of the Brain: Essays by the World's Leading Neuroscientists by Gary Marcus, Jeremy Freeman
23andMe, Albert Einstein, bioinformatics, bitcoin, brain emulation, cloud computing, complexity theory, computer age, computer vision, conceptual framework, correlation does not imply causation, crowdsourcing, dark matter, data acquisition, Drosophila, epigenetics, Google Glasses, iterative process, linked data, mouse model, optical character recognition, pattern recognition, personalized medicine, phenotype, race to the bottom, Richard Feynman, Richard Feynman, Ronald Reagan, semantic web, speech recognition, stem cell, Steven Pinker, supply-chain management, Turing machine, web application
Molecular biology has finally delivered on the early promises of the Human Genome Project, albeit decades later than forecast. Previous monolithic diseases, such as breast cancer, brain cancer, depression, dementia and autism, have splintered off into a myriad of more specific pathologies, defined not so much by common behavioral phenotypes but by shared mutations, molecular pathways and biochemical mechanisms. In combination with cheap, reliable, and fast genetic tests, the age of personalized medicine, long trumpeted by Leroy Hood, Craig Venter, and other pioneers, arrived in which familial predispositions to behavioral traits, pharmacological interventions, and diseases, permit much more targeted interventions. Bioterrorism has occasionally struck, but the combination of personal genomics, personal immunizers, and a ubiquitous surveillance state has largely kept the population safe.
How to Read a Paper: The Basics of Evidence-Based Medicine by Trisha Greenhalgh
call centre, complexity theory, conceptual framework, correlation coefficient, correlation does not imply causation, deskilling, knowledge worker, meta analysis, meta-analysis, microbiome, New Journalism, p-value, personalized medicine, placebo effect, randomized controlled trial, the scientific method
Shared decision making: a model for clinical practice. Journal of General Internal Medicine 2012;27(10):1361–7. 26 March L, Irwig L, Schwarz J, et al. n of 1 trials comparing a non-steroidal anti-inflammatory drug with paracetamol in osteoarthritis. BMJ: British Medical Journal 1994;309(6961):1041–6. 27 Lillie EO, Patay B, Diamant J, et al. The n-of-1 clinical trial: the ultimate strategy for individualizing medicine? Personalized Medicine 2011;8(2):161–73. 28 Moore A, Derry S, Eccleston C, et al. Expect analgesic failure; pursue analgesic success. BMJ: British Medical Journal 2013;346:f2690. Chapter 17 Criticisms of evidence-based medicine What's wrong with EBM when it's done badly? This new chapter is necessary because evidence-based medicine (EBM) has long outlived its honeymoon period. There is, quite appropriately, a growing body of scholarship that offers legitimate criticisms of EBM's assumptions and core approaches.
The Industries of the Future by Alec Ross
23andMe, 3D printing, Airbnb, algorithmic trading, AltaVista, Anne Wojcicki, autonomous vehicles, banking crisis, barriers to entry, Bernie Madoff, bioinformatics, bitcoin, blockchain, Brian Krebs, British Empire, business intelligence, call centre, carbon footprint, cloud computing, collaborative consumption, connected car, corporate governance, Credit Default Swap, cryptocurrency, David Brooks, disintermediation, Dissolution of the Soviet Union, distributed ledger, Edward Glaeser, Edward Snowden, en.wikipedia.org, Erik Brynjolfsson, fiat currency, future of work, global supply chain, Google X / Alphabet X, industrial robot, Internet of things, invention of the printing press, Jaron Lanier, Jeff Bezos, job automation, knowledge economy, knowledge worker, litecoin, M-Pesa, Mark Zuckerberg, Mikhail Gorbachev, mobile money, money: store of value / unit of account / medium of exchange, new economy, offshore financial centre, open economy, peer-to-peer lending, personalized medicine, Peter Thiel, precision agriculture, pre–internet, RAND corporation, Ray Kurzweil, recommendation engine, ride hailing / ride sharing, Satoshi Nakamoto, self-driving car, sharing economy, Silicon Valley, Silicon Valley startup, Skype, smart cities, social graph, software as a service, special economic zone, supply-chain management, supply-chain management software, technoutopianism, underbanked, Vernor Vinge, Watson beat the top human players on Jeopardy!, women in the workforce, Y Combinator, young professional
One Chinese CEO told me he believes that the wealth and power that came from being the center of the Internet’s commercialization extended America’s reign as a superpower by ten years. Many of the most powerful Chinese leaders believe that genomics is the next trillion-dollar industry, and they are determined to be its leader. One opportunity being monitored by the Chinese relates to the drug-development process in the United States. If the FDA does not change its drug-development process to speed the delivery of the kinds of personalized medicines made possible by genetic sequencing, as described by Luis Diaz and Lukas Wartman, then patients may go abroad (perhaps to China) for individualized treatment therapies. At the core of the Chinese strategy are companies and institutes like BGI that live in the gray space between state and private sector. These are nominally private organizations, but they are engorged with capital and blessed with support from China’s central authorities, who are determined to see them succeed for the benefit of China.
What Technology Wants by Kevin Kelly
Albert Einstein, Alfred Russel Wallace, Buckminster Fuller, c2.com, carbon-based life, Cass Sunstein, charter city, Clayton Christensen, cloud computing, computer vision, Danny Hillis, dematerialisation, demographic transition, double entry bookkeeping, en.wikipedia.org, Exxon Valdez, George Gilder, gravity well, hive mind, Howard Rheingold, interchangeable parts, invention of air conditioning, invention of writing, Isaac Newton, Jaron Lanier, John Conway, John von Neumann, Kevin Kelly, knowledge economy, Lao Tzu, life extension, Louis Daguerre, Marshall McLuhan, megacity, meta analysis, meta-analysis, new economy, out of africa, performance metric, personalized medicine, phenotype, Picturephone, planetary scale, RAND corporation, random walk, Ray Kurzweil, recommendation engine, refrigerator car, Richard Florida, Silicon Valley, silicon-based life, Skype, speech recognition, Stephen Hawking, Steve Jobs, Stewart Brand, Ted Kaczynski, the built environment, the scientific method, Thomas Malthus, Vernor Vinge, Whole Earth Catalog, Y2K
One billion live, always-on cameras serve as a community monitor and memory, they give the job of eyewitness to amateurs, they restructure the notion of the self, and they reduce the authority of authorities. One thousand teleportation stations rejuvenate vacation travel. One billion teleportation stations overturn commutes, reimagine globalism, introduce tele-lag sickness, reintroduce the grand spectacle, kill the nation-state, and end privacy. One thousand human genetic sequences jump-start personalized medicine. One billion genetic sequences every hour enable real-time genetic damage monitoring, upend the chemical industry, redefine illness, make genealogies hip, and launch “ultraclean” lifestyles that make organic look filthy. One thousand screens the size of buildings keep Hollywood going. One billion screens everywhere become the new art, create a new advertising medium, revitalize cities at night, accelerate locative computing, and rejuvenate the commons.
3D printing, additive manufacturing, Airbnb, autonomous vehicles, back-to-the-land, big-box store, bioinformatics, bitcoin, business process, Chris Urmson, clean water, cleantech, cloud computing, collaborative consumption, collaborative economy, Community Supported Agriculture, computer vision, crowdsourcing, demographic transition, distributed generation, en.wikipedia.org, Frederick Winslow Taylor, global supply chain, global village, Hacker Ethic, industrial robot, informal economy, intermodal, Internet of things, invisible hand, Isaac Newton, James Watt: steam engine, job automation, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, Julian Assange, Kickstarter, knowledge worker, labour mobility, Mahatma Gandhi, manufacturing employment, Mark Zuckerberg, market design, means of production, meta analysis, meta-analysis, natural language processing, new economy, New Urbanism, nuclear winter, Occupy movement, oil shale / tar sands, pattern recognition, peer-to-peer lending, personalized medicine, phenotype, planetary scale, price discrimination, profit motive, RAND corporation, randomized controlled trial, Ray Kurzweil, RFID, Richard Stallman, risk/return, Ronald Coase, search inside the book, self-driving car, shareholder value, sharing economy, Silicon Valley, Skype, smart cities, smart grid, smart meter, social web, software as a service, spectrum auction, Steve Jobs, Stewart Brand, the built environment, The Nature of the Firm, The Structural Transformation of the Public Sphere, The Wealth of Nations by Adam Smith, The Wisdom of Crowds, Thomas Kuhn: the structure of scientific revolutions, Thomas L Friedman, too big to fail, transaction costs, urban planning, Watson beat the top human players on Jeopardy!, web application, Whole Earth Catalog, Whole Earth Review, WikiLeaks, working poor, Zipcar
More and more scientists in universities and foundation-sponsored laboratories around the world are abandoning the idea of patenting genetic information in favor of uploading their research in open-source networks to be shared freely with colleagues in managed Commons. The Creative Commons license has been implemented by the Harvard University Medical School in its Personal Genome Project.25 This is a long-term cohort study that aims to sequence and publicize the genome and records of 100,000 volunteers in order to advance research in the field of customized personal medicine.26 All the genome data covered by a Creative Commons license will be put in the public domain and be made available on the Internet to allow scientists open and free access for their laboratory research.27 Despite the success of the Creative Commons licensing, Lessig takes every opportunity to distance himself from what he calls “a growing copyright abolitionist movement.”28 He believes that copyright will remain a viable part of the coming era but will need to make room for open-source licensing in a world that will be lived partially in the market and partially on the Commons.
The New Digital Age: Transforming Nations, Businesses, and Our Lives by Eric Schmidt, Jared Cohen
3D printing, access to a mobile phone, additive manufacturing, airport security, Amazon Mechanical Turk, Amazon Web Services, anti-communist, augmented reality, Ayatollah Khomeini, barriers to entry, bitcoin, borderless world, call centre, Chelsea Manning, citizen journalism, clean water, cloud computing, crowdsourcing, data acquisition, Dean Kamen, Elon Musk, failed state, fear of failure, Filter Bubble, Google Earth, Google Glasses, hive mind, income inequality, information trail, invention of the printing press, job automation, Julian Assange, Khan Academy, Kickstarter, knowledge economy, Law of Accelerating Returns, market fundamentalism, means of production, mobile money, mutually assured destruction, Naomi Klein, offshore financial centre, peer-to-peer lending, personalized medicine, Peter Singer: altruism, Ray Kurzweil, RFID, self-driving car, sentiment analysis, Silicon Valley, Skype, Snapchat, social graph, speech recognition, Steve Jobs, Steven Pinker, Stewart Brand, Stuxnet, The Wisdom of Crowds, upwardly mobile, Whole Earth Catalog, WikiLeaks, young professional, zero day
Synthetic skin grafts, which exist today, will give way to grafts made from burn victims’ own cells. Inside hospitals, robots will take on more responsibilities, as surgeons increasingly let sophisticated machines handle difficult parts of certain procedures, where delicate or tedious work is involved or a wider range of motion is required.2 Advances in genetic testing will usher in the era of personalized medicine. Through targeted tests and genome sequencing (decoding a person’s full DNA), doctors and disease specialists will have more information about patients, and what might help them, than ever before. Despite steady scientific progress, severe negative reactions to prescribed drugs remain a leading cause of hospitalization and death. Pharmaceutical companies traditionally pursue a “one-size-fits-all” approach to drug development, but this is due to change as the burgeoning field of pharmacogenetics continues to develop.
Affordable Care Act / Obamacare, AI winter, Airbnb, Atul Gawande, Captain Sullenberger Hudson, Checklist Manifesto, Clayton Christensen, collapse of Lehman Brothers, computer age, crowdsourcing, deskilling, en.wikipedia.org, Erik Brynjolfsson, everywhere but in the productivity statistics, Firefox, Frank Levy and Richard Murnane: The New Division of Labor, Google Glasses, Ignaz Semmelweis: hand washing, Internet of things, job satisfaction, Joseph Schumpeter, knowledge worker, medical malpractice, medical residency, Menlo Park, minimum viable product, natural language processing, Network effects, Nicholas Carr, obamacare, pattern recognition, personalized medicine, pets.com, Productivity paradox, Ralph Nader, RAND corporation, Second Machine Age, self-driving car, Silicon Valley, Silicon Valley startup, six sigma, Skype, Snapchat, software as a service, Steve Jobs, Steven Levy, the payments system, The Wisdom of Crowds, Toyota Production System, Uber for X, Watson beat the top human players on Jeopardy!, Yogi Berra
For the 46-year-old man with high blood pressure, the target will no longer be a fixed number, like today’s 140/90. Rather, the system will determine each patient’s optimal blood pressure value, based on an analysis of risk factors, genes, and the ongoing monitoring of thousands of patients with similar risk profiles. The same will be true of cholesterol, glucose, and even cancer screening. The promise of personalized medicine will become a reality. Clinical research will also be transformed through the analysis of vast amounts of data on millions of patients. Determining the best treatment for high cholesterol, Crohn’s disease, or acute lymphocytic leukemia will no longer require expensive and elaborately choreographed clinical trials. Rather, there will be a true “learning healthcare system” in which real-world variations in tests and treatments are analyzed, and the ones associated with the best outcomes are identified.
The Future of the Professions: How Technology Will Transform the Work of Human Experts by Richard Susskind, Daniel Susskind
23andMe, 3D printing, additive manufacturing, AI winter, Albert Einstein, Amazon Mechanical Turk, Amazon Web Services, Andrew Keen, Atul Gawande, Automated Insights, autonomous vehicles, Big bang: deregulation of the City of London, big data - Walmart - Pop Tarts, Bill Joy: nanobots, business process, business process outsourcing, Cass Sunstein, Checklist Manifesto, Clapham omnibus, Clayton Christensen, clean water, cloud computing, computer age, computer vision, conceptual framework, corporate governance, crowdsourcing, Daniel Kahneman / Amos Tversky, death of newspapers, disintermediation, Douglas Hofstadter, en.wikipedia.org, Erik Brynjolfsson, Filter Bubble, Frank Levy and Richard Murnane: The New Division of Labor, full employment, future of work, Google Glasses, Google X / Alphabet X, Hacker Ethic, industrial robot, informal economy, information retrieval, interchangeable parts, Internet of things, Isaac Newton, James Hargreaves, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, Joseph Schumpeter, Khan Academy, knowledge economy, lump of labour, Marshall McLuhan, Narrative Science, natural language processing, Network effects, optical character recognition, personalized medicine, pre–internet, Ray Kurzweil, Richard Feynman, Richard Feynman, Second Machine Age, self-driving car, semantic web, Skype, social web, speech recognition, spinning jenny, strong AI, supply-chain management, telepresence, the market place, The Wealth of Nations by Adam Smith, The Wisdom of Crowds, transaction costs, Turing test, Watson beat the top human players on Jeopardy!, young professional
., ‘Hydrogel bioprinted microchannel networks for vascularization of tissue engineering constructs’, Lab on a Chip, 14: 13 (2014), 2202–11. 47 <http://www.organdonor.gov> and ‘Fact Sheets: Transplants save lives’, NHS website, Aug. 2014 <http://www.organdonation.nhs.uk/newsroom/fact_sheets/transplants_save_lives.asp> (accessed 9 March 2015). 48 Erika Check Hayden, ‘Technology: The $1,000 Genome’, Nature, 19 Mar. 2014. 49 Francis S. Collins, The Language of Life: DNA and the Revolution in Personalized Medicine (2010), p. xviii discusses the services, but their costs are now far lower. See e.g. the $99 service at <https://www.23andme.com> (accessed 27 March 2015). 50 Richard P. Feynman, ‘Plenty of Room at the Bottom’, talk to the American Physical Society at Caltech, Dec. 1959, p. 5 <http://www.pa.msu.edu/~yang/RFeynman_plentySpace.pdf> (accessed 27 March 2015). 51 Miguel Helft, ‘Google’s Larry Page: The Most Ambitious CEO in the Universe’, Fortune Magazine, 13 Nov. 2014 <http://fortune.com> (accessed 27 March 2015). 52 David L.
Age of Discovery: Navigating the Risks and Rewards of Our New Renaissance by Ian Goldin, Chris Kutarna
2013 Report for America's Infrastructure - American Society of Civil Engineers - 19 March 2013, 3D printing, Airbnb, Albert Einstein, AltaVista, Asian financial crisis, asset-backed security, autonomous vehicles, banking crisis, barriers to entry, battle of ideas, Berlin Wall, bioinformatics, bitcoin, Bonfire of the Vanities, clean water, collective bargaining, Colonization of Mars, Credit Default Swap, crowdsourcing, cryptocurrency, Dava Sobel, demographic dividend, Deng Xiaoping, Doha Development Round, double helix, Edward Snowden, Elon Musk, en.wikipedia.org, epigenetics, experimental economics, failed state, Fall of the Berlin Wall, financial innovation, full employment, Galaxy Zoo, global supply chain, Hyperloop, immigration reform, income inequality, indoor plumbing, industrial robot, information retrieval, intermodal, Internet of things, invention of the printing press, Isaac Newton, Islamic Golden Age, Khan Academy, Kickstarter, labour market flexibility, low cost carrier, low skilled workers, Lyft, Malacca Straits, megacity, Mikhail Gorbachev, moral hazard, Network effects, New Urbanism, non-tariff barriers, Occupy movement, On the Revolutions of the Heavenly Spheres, open economy, Panamax, personalized medicine, Peter Thiel, post-Panamax, profit motive, rent-seeking, reshoring, Robert Gordon, Search for Extraterrestrial Intelligence, Second Machine Age, self-driving car, Shenzhen was a fishing village, Silicon Valley, Silicon Valley startup, Skype, smart grid, Snapchat, special economic zone, spice trade, statistical model, Stephen Hawking, Steve Jobs, Stuxnet, TaskRabbit, too big to fail, trade liberalization, trade route, transaction costs, transatlantic slave trade, uranium enrichment, We are the 99%, We wanted flying cars, instead we got 140 characters, working poor, working-age population, zero day
This matters to health, because it turns out that the oldest parts of the human genome—those lines of our DNA code that have been battle-tested over eons of evolution and are the same in most all of us—are also the most bullet-proof. Most of the genetic weak spots in our armor lie amidst so-called rare variations—more recent lines of code that occur in less than 1 percent of people. In other words, human beings are the same, but different. Mass-produced medicine glosses over the latter point; personalized medicine will embrace it. In 2015, the US Food and Drug Administration (FDA) approved the first 3D-printed drugs, which can be custom-made to match each patient’s ideal dosage requirements and absorption capabilities. And parents can already purchase genetic tests to screen their children for hundreds of known mutations and disorders. The day of a sequencing machine in every doctor’s surgery is beckoning.
23andMe, 3D printing, additive manufacturing, Affordable Care Act / Obamacare, Airbnb, airport security, Albert Einstein, algorithmic trading, artificial general intelligence, augmented reality, autonomous vehicles, Baxter: Rethink Robotics, Bill Joy: nanobots, bitcoin, Black Swan, blockchain, borderless world, Brian Krebs, business process, butterfly effect, call centre, Chelsea Manning, cloud computing, cognitive dissonance, computer vision, connected car, corporate governance, crowdsourcing, cryptocurrency, data acquisition, data is the new oil, Dean Kamen, disintermediation, don't be evil, double helix, Downton Abbey, Edward Snowden, Elon Musk, Erik Brynjolfsson, Filter Bubble, Firefox, Flash crash, future of work, game design, Google Chrome, Google Earth, Google Glasses, Gordon Gekko, high net worth, High speed trading, hive mind, Howard Rheingold, hypertext link, illegal immigration, impulse control, industrial robot, Internet of things, Jaron Lanier, Jeff Bezos, job automation, John Harrison: Longitude, Jony Ive, Julian Assange, Kevin Kelly, Khan Academy, Kickstarter, knowledge worker, Kuwabatake Sanjuro: assassination market, Law of Accelerating Returns, Lean Startup, license plate recognition, litecoin, M-Pesa, Mark Zuckerberg, Marshall McLuhan, Menlo Park, mobile money, more computing power than Apollo, move fast and break things, Nate Silver, national security letter, natural language processing, obamacare, Occupy movement, Oculus Rift, offshore financial centre, optical character recognition, pattern recognition, personalized medicine, Peter H. Diamandis: Planetary Resources, Peter Thiel, pre–internet, RAND corporation, ransomware, Ray Kurzweil, refrigerator car, RFID, ride hailing / ride sharing, Rodney Brooks, Satoshi Nakamoto, Second Machine Age, security theater, self-driving car, shareholder value, Silicon Valley, Silicon Valley startup, Skype, smart cities, smart grid, smart meter, Snapchat, social graph, software as a service, speech recognition, stealth mode startup, Stephen Hawking, Steve Jobs, Steve Wozniak, strong AI, Stuxnet, supply-chain management, technological singularity, telepresence, telepresence robot, Tesla Model S, The Wisdom of Crowds, Tim Cook: Apple, trade route, uranium enrichment, Wall-E, Watson beat the top human players on Jeopardy!, Wave and Pay, We are Anonymous. We are Legion, web application, WikiLeaks, Y Combinator, zero day
In the end, for the first time ever, the National Science Advisory Board for Biosecurity stepped in and asked the journals to limit the details published, to which they temporarily agreed. This particular risk was momentarily avoided, but the code will eventually leak, and others will surely be created. While a broad-based bioterror attack would be devastating, synbio makes it possible to target not only a whole population but possibly a single individual among millions. Personalized medicine has demonstrated it is possible to target a single cancer cell while leaving all surrounding cells intact, but the flip side is personalized bioweapons. In the future, would-be bio-assassins need only recover some genetic material left behind on a fork or spoon at a restaurant, perhaps from a high-profile politician or celebrity, to create a bespoke weaponized virus. Though one might think such scenarios are relegated solely to the realm of science fiction, news broke as part of the WikiLeaks scandal that the U.S. government had allegedly sent diplomatic cables to its embassies overseas instructing personnel to attempt to collect the DNA of world leaders—presumably not to enroll them in Obamacare.
Data Scientists at Work by Sebastian Gutierrez
Albert Einstein, algorithmic trading, bioinformatics, bitcoin, business intelligence, chief data officer, clean water, cloud computing, computer vision, continuous integration, correlation does not imply causation, crowdsourcing, data is the new oil, DevOps, domain-specific language, follow your passion, full text search, informal economy, information retrieval, Infrastructure as a Service, inventory management, iterative process, linked data, Mark Zuckerberg, microbiome, Moneyball by Michael Lewis explains big data, move fast and break things, natural language processing, Network effects, nuclear winter, optical character recognition, pattern recognition, Paul Graham, personalized medicine, Peter Thiel, pre–internet, quantitative hedge fund, quantitative trading / quantitative ﬁnance, recommendation engine, Renaissance Technologies, Richard Feynman, Richard Feynman, self-driving car, side project, Silicon Valley, Skype, software as a service, speech recognition, statistical model, Steve Jobs, stochastic process, technology bubble, text mining, the scientific method, web application
Karpištšenko: You should understand that overnight success takes about ten years, so you should expect to go through a lot before success finds you. You should persist and be ready to do the hard work. The idea or the initial enthusiasm is just a small part of doing something great. Gutierrez: What data sets or problems would you love to see tackled? Karpištšenko: That’s the big challenge of the day. I think personalized medicine holds great promise. Having great open genetic libraries and having access to the gene pool of humans will be very important. Most important will be developing these data sets, tools, and methodologies in such a way that still preserves privacy and helps us to transition into this new period of much less privacy. There is a lot of work to be done in how we collect data and how we process it so that we don’t break people’s privacy.
The Stack: On Software and Sovereignty by Benjamin H. Bratton
1960s counterculture, 3D printing, 4chan, Ada Lovelace, additive manufacturing, airport security, Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, algorithmic trading, Amazon Mechanical Turk, Amazon Web Services, augmented reality, autonomous vehicles, Berlin Wall, bioinformatics, bitcoin, blockchain, Buckminster Fuller, Burning Man, call centre, carbon footprint, carbon-based life, Cass Sunstein, Celebration, Florida, charter city, clean water, cloud computing, connected car, corporate governance, crowdsourcing, cryptocurrency, dark matter, David Graeber, deglobalization, dematerialisation, disintermediation, distributed generation, don't be evil, Douglas Engelbart, Edward Snowden, Elon Musk, en.wikipedia.org, Eratosthenes, ethereum blockchain, facts on the ground, Flash crash, Frank Gehry, Frederick Winslow Taylor, future of work, Georg Cantor, gig economy, global supply chain, Google Earth, Google Glasses, Guggenheim Bilbao, High speed trading, Hyperloop, illegal immigration, industrial robot, information retrieval, intermodal, Internet of things, invisible hand, Jacob Appelbaum, Jaron Lanier, Jony Ive, Julian Assange, Khan Academy, linked data, Mark Zuckerberg, market fundamentalism, Marshall McLuhan, Masdar, McMansion, means of production, megacity, megastructure, Menlo Park, Minecraft, Monroe Doctrine, Network effects, new economy, offshore financial centre, oil shale / tar sands, packet switching, PageRank, pattern recognition, peak oil, performance metric, personalized medicine, Peter Thiel, phenotype, place-making, planetary scale, RAND corporation, recommendation engine, reserve currency, RFID, Sand Hill Road, self-driving car, semantic web, sharing economy, Silicon Valley, Silicon Valley ideology, Slavoj Žižek, smart cities, smart grid, smart meter, social graph, software studies, South China Sea, sovereign wealth fund, special economic zone, spectrum auction, Startup school, statistical arbitrage, Steve Jobs, Steven Levy, Stewart Brand, Stuxnet, Superbowl ad, supply-chain management, supply-chain management software, TaskRabbit, the built environment, The Chicago School, the scientific method, Torches of Freedom, transaction costs, Turing complete, Turing machine, Turing test, universal basic income, urban planning, Vernor Vinge, Washington Consensus, web application, WikiLeaks, working poor, Y Combinator
Over the course of our individual lives, our bodies provide selection pressures on how our individual microbial biomes change and evolve inside us. What we eat, in particular, can fundamentally alter the alien ecology in our gut, for better or worse. A poor diet can force the evolution of the biome toward an unhealthy state in which it no longer supports our health and instead could contribute to significant malaise in the entire biological mechanism. Smarr's personal medicine is somewhat unusual in that the focus is shifted from the self-regard of his own somatic body toward the curation and gardening of this internal microbial civilization. Inside the shell of one's skin, there is far more DNA that is nonhuman than DNA that is human. You, the skin bag, are all too less human than human. Even to the extent that your individual corporeal machine is to be taken as the base unit of medical analysis and political subjectivity, it is already a multispecies arrangement.