Researchers at the Icahn School of Medicine at Mount Sinai have published a machine learning model to predict penetrance of genetic variants—how likely the variants are to cause disease. The tool combines genomic and clinical phenotype data to evaluate penetrance at scale, offering refined, individualized disease risk estimates. The study was published last week in […]
