based on past outcomes of clinical trials, AI can predict the likelihood of each lead candidate, and rank them accordingly. These experiments are called “in silico,” as silicon-based software simulates the actual effect of the drugs and clinical trials. After in silico efforts produce high-confidence candidates, scientists can work from the AI-ranked list.
