"Groundbreaking AI Model Identifies Drugs with High Risk of Birth Defects"

Researchers at the Icahn School of Medicine at Mount Sinai have developed an artificial intelligence model, known as a "knowledge graph," that can accurately predict which existing drugs may cause birth defects. By integrating data from various sources, including genetics, drug classifications, and cellular mechanisms, the model prioritized 30,000 preclinical small molecule drugs for their potential to induce birth defects. The study is the first of its kind to use knowledge graphs to investigate the causes of congenital disabilities. The researchers hope that this approach will lead to a new framework for assessing drug toxicity and help regulatory agencies evaluate the risk of new drugs.