Machine Learning Approach Improves Accuracy of Prenatal Genetic Testing
Researchers at The Hospital for Sick Children have developed a machine learning model that uses tissue-agnostic episignatures to improve classification of genetic variants in prenatal samples, according to a study in The American Journal of Human Genetics.