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 in dementia patients. Dementia has emerged as ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

One of the most common types of cancer affecting women worldwide is breast cancer. Multiple predictors of this disease have been identified, including inherited genetic factors, reproductive factors, ...

Machine-learning analysis identifies factors predicting T cell collection efficiency in CAR T-cell therapy for DLBCL patients. Higher blood volume, not higher circulating T-cell numbers, correlates ...