Improving trial success by 10% yields massive pipeline value
Predicting the results of clinical trials is the big big win for AI in biotech, with also great implications for precision medicine once the drug is commercialized.
Good news is that 20% of drugs succeed, so even modest improvements (eg 20->30) can be massive.
http://x.com/i/article/2066998947319873537
Users are excited about AI predicting clinical trial results in biotech because it enables sharper trial design, patient selection, insightful Monte Carlo simulations with virtual patients, and wearable health data sharing.
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@vijaypande Getting close:
@vijaypande Hi! 👋 we’ve been building the prediction engine to not only predict the trial outcomes but the clinically actionable results. DM if you’re interested in learning more!
@vijaypande I get excited about people opting in to share latitudinal health data from all their wearables.
@vijaypande @mkoeris Yeah I enjoy the Monte Carlo’s with 10,000 virtual patients. Pretty neat and very insightful
@vijaypande Yep! And the exciting part is what unlocks it: getting that sharper prediction into trial design, patient selection, site execution. The prediction sets the ceiling. Acting on it well is how the field actually reaches it and that’s the part we can build now.