It’s hard to imagine a better use for artificial intelligence (AI) and machine learning (ML) than discovering and advancing the next generation of personalized medicines. With savvy algorithms and modern computing power, we can model human biology like never before, finding treatments for a range of complex diseases and expediting their path to market.
This future is now within reach, yet two significant barriers remain. The first is a logistical challenge. For accurate modeling, we need petabytes of high-quality, structured data. The second barrier is psychological. For AI to make a major impact in medicine, biotech and pharma companies need to break with convention and place a bet on the power of technology. To tackle complex diseases, we need to reimagine — not augment — drug discovery and development.