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@INM7_ISN 4 years ago
Eysenk's astonishing work on "cancer personality". If results are too good to be true, there is usually a good reason for this Highly relevant to current work on #MachineLearning in neuroimaging and Medicine. Real life is too complex for >>90% accuracy https://cosmosmagazine.com/society/is-this-one-of-the-worst-scientific-scandals-of-all-time
@raamana_ 5 years ago
Random tip: if a PI publishes over 25 papers/year (more than 2 papers/month), in a heavily data- and optimization-driven research e.g. #MachineLearning in medicine, without releasing their codebase or using public libraries, be HIGHLY skeptical about their results. #phdchat
@Primary_Immune1 7 years ago
#GeneTherapy: "1st Full Gen of Highly Precise Medicine Could Soon Be with Us" http://www.nature.com/nature/journal/v537/n7619_supp/full/537S57a.html?WT.mc_id=TWT_OUTLOOK_PRECISIONMEDICINE #SNRTG… https://twitter.com/i/web/status/781440316037562368
@pmarca 8 years ago
RT @fmbutt: Perfect illustration of Eroom's law in highly regulated, zero competition medicine market: http://www.techinsider.io/prescription-drug-price-increases-show-broken-healthcare-system-2015-5 http://t.co/pBjVdPuLZi