Machine Learning Algorithm Finds Three Natural Anti-Aging Compounds

Scientists from the University of Edinburgh in Scotland have developed a machine learning model that has successfully identified three natural anti-aging compounds that can safely eliminate defective cells. The compounds – ginkgetin, periplocin, and oleandrin – have long been found in traditional herbal medicines and reportedly show potent anti-aging effects. Cellular senescence is the phenomenon where cells permanently stop dividing but remain in the body, causing tissue damage and aging. The senolytic compounds identified by the machine-learning algorithm cleared senescent cells without damaging healthy cells. Finding treatments for complex diseases is a laborious and costly process, so the team believes that its AI-based approach might transform drug discovery while also being cost-effective.