AI model to predict drug-related birth defects

Researchers from the Icahn School of Medicine developed an AI ‘knowledge graph’ to better predict birth defects associated with certain medications and pre-clinical compounds. An AI model developed by data scientists from the Icahn School of Medicine at Mount Sinai (NY, USA) has the potential to improve predictions about certain existing medications that are not currently considered harmful but might be linked to congenital disabilities. The "knowledge graph" model, termed ReproTox-KG, also possesses the capability to predict the impact of pre-clinical compounds that could pose risks to the developing fetus. This groundbreaking study represents the first of its kind to...