Disease complexity shapes AI drug discovery—and argues against stage-gating

Cancer was described as thousands of diseases that may require disease-by-disease approaches; AI could help find new molecules or mechanisms for cancers that remain difficult to treat. Common diseases such as obesity are also complex: multiple organs are involved, and contributing factors can vary widely across people. A cited reading put the share of patients who do not respond to GLP-1s at 10–15%; hormones probably affect response, and women tend to respond better.

The proposed strategy is to pursue disease areas in parallel rather than stage-gate them, while advancing medicines that can improve day-to-day life and judging each molecule by that potential.