an experimentation technique which allows for rapidly poking and prodding at huge volumes of previously untapped data to discover facts and relationships about the complexity of our world. Rather than poking and prodding at genes, cells or molecules to see how they interact in labs, “data scientists” use ML and AI to more rapidly discover relationships that would be difficult for humans to “see”.
use AI for drug discovery” is just as silly as one who says, “we experiment with molecules for drug discovery.” It does not mean anything. If someone said “you should invest in my company because we know how to culture bacteria" you'd look at them like they were delusional. The same should be done with entrepreneurs who use “AI” and “ML” as if they are the ends, rather than the means to the ends.
mathematics & engineering Digitize maps, literature, news Digitize purchasing, social networks Predict crowd behavior This and future decades Digitize biology Digitize chemistry Digitize physics Predict human behavior Gigabytes and petabytes, all sharable Petabytes and exabytes, not shareable
Identify phenomenon Think about nature Fit to known patterns Guess at answers 3.0 Identify data Generate questions Mine data Answer questions 2.0 Identify problem Ask questions Collect data Answer questions
Diagnostic Tools Patient Administration Payer Admin Clinical Professional Education Public Health Education Patient Education Most Regulation Least Regulation Cohort specific Personalized Risk Data Sharing
Diagnostic Tools Patient Administration Payer Admin Clinical Professional Education Public Health Education Patient Education Most Regulation Least Regulation Auto Literature Review Specialty-specific Content
Diagnostic Tools Patient Administration Payer Admin Clinical Professional Education Public Health Education Patient Education Most Regulation Least Regulation Auto Adjudication Fraud Detection Quality Compliance Contract Adherence
Diagnostic Tools Patient Administration Payer Admin Clinical Professional Education Public Health Education Patient Education Most Regulation Least Regulation Auto Triage for Low-risk Augmented Triage for Higher risk Infection control / Anti-microbial Stewardship Consulted Tele Diagnostics Med Device Continuous Diagnostics
Diagnostic Tools Patient Administration Payer Admin Clinical Professional Education Public Health Education Patient Education Most Regulation Least Regulation Physical Mental (chat, VR, etc.) Digital (nutritional, etc.) Clinical Research ( “systematic review automation”) Drug Development Clinical Discovery (unattended and digital)
Behavioral Phenotypics Admin Economics Connectivity Integration Transformation Comprehension Enrichment Insights Cognition No ML or AI possible without these
work Validate in silicon without clinical trials Validate effectiveness in the real world Commercialization Distribute safely and at scale Manufacture safely and at scale Monitor Patients Post Market Improve Safety Post Market Science 3.0 (drug discovery) VERY FAR AWAY AND SPECULATIVE
work Validate in silicon without clinical trials Validate effectiveness in the real world Commercialization Distribute safely and at scale Manufacture safely and at scale Monitor Patients Post Market Improve Safety Post Market Biology simulation VERY FAR AWAY BUT HAS SIGNIFICANT PROMISE, WORTH INVESTING
work Validate in silicon without clinical trials Validate effectiveness in the real world Commercialization Distribute safely and at scale Manufacture safely and at scale Monitor Patients Post Market Improve Safety Post Market Automating clinical trials, detecting fraud TODAY, ACCELERATING, WORTH INVESTING
work Validate in silicon without clinical trials Validate effectiveness in the real world Commercialization Distribute safely and at scale Manufacture safely and at scale Monitor Patients Post Market Improve Safety Post Market Biggest opportunity to learn from other industries TODAY, ACCELERATING, WORTH INVESTING
work Validate in silicon without clinical trials Validate effectiveness in the real world Commercialization Distribute safely and at scale Manufacture safely and at scale Monitor Patients Post Market Improve Safety Post Market Biggest opportunity to learn from other industries TODAY, ACCELERATING, WORTH INVESTING
work Validate in silicon without clinical trials Validate effectiveness in the real world Commercialization Distribute safely and at scale Manufacture safely and at scale Monitor Patients Post Market Improve Safety Post Market The most potential for immediate use (great investment thesis) TODAY, ACCELERATING
work Validate in silicon without clinical trials Validate effectiveness in the real world Commercialization Distribute safely and at scale Manufacture safely and at scale Monitor Patients Post Market Improve Safety Post Market Many opportunities in “real word evidence” TODAY, ACCELERATING
work Validate in silicon without clinical trials Validate effectiveness in the real world Commercialization Distribute safely and at scale Manufacture safely and at scale Monitor Patients Post Market Improve Safety Post Market Once we have lots of data from real-world evidence efforts SOON
like: • Which monumental tasks is their novel AI eliminating? • Which significant roles in life sciences or healthcare are no longer necessary because of their novel AI? • Can their AI speed the delivery of patient-facing innovations, improve post-market quality, or speed up regulatory approvals? If you think of AI as a gold rush, pick-axes and shovels are worth investing in if they can be shown to add to the considerable work being done by open source software produced by Microsoft, Google, and others.
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