Scientists need AI to flag overlooked research, not just confirm it

A Bio-IT World piece argues that AI in drug discovery often confirms existing biases instead of challenging them. The real value is an AI that surfaces contradictory findings and forces scientists to confront uncomfortable data, not just what supports a hypothesis. This could reshape how we develop new therapies, from GLP-1s to psychedelics, by catching critical errors early.