Researchers identified rare genetic variants that significantly increase the risk of atrial fibrillation, enhancing AF risk stratification by combining these with polygenic risk scores.
Using machine learning to identify key predictors of mortality in dementia patients
Researchers at the Icahn School of Medicine at Mount Sinai and others have harnessed the power of machine learning to identify key predictors of mortality
February 28, 2024