AI Drug Discovery
The use of machine learning to identify, design, or screen drug candidates faster than traditional lab-by-lab experimentation, including for aging-related disease.
AI drug discovery uses machine learning models to predict how molecules will behave, screen large chemical libraries virtually, and identify promising drug candidates before expensive lab and clinical testing begins. In longevity research, this is applied to senolytics, cellular reprogramming compounds, and other aging-related drug targets.
AI can shrink the discovery timeline and cost of early-stage research, but it does not replace clinical trials. A molecule identified by an AI model still has to prove safety and effectiveness in humans through the same regulatory process as any other drug.