Drug discovery depends on what is already known, and that knowledge is scattered across millions of papers, patents, and databases. AI can read and organize this material far faster than a person, pulling out relationships between targets, compounds, and outcomes, and collapsing the pile into a small number of testable hypotheses. Those hypotheses are suggestions drawn from text, not evidence, so they still need experimental checking.
Can AI Run a Drug Discovery Lab on Its Own?