Psychiatry Advisor

Accuracy of Machine Learning in Predicting CVD Risk in Bipolar Disease

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

Machine learning identifies factors that may determine the age of onset of Huntington's disease

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
News-Medical.Net on MSN

Using AI to understand the age of disease onset in Huntington's patients

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
The Stanford Daily

AI predicts future disease risk using sleep patterns

Stanford Medicine researchers published a report on a new model, dubbed SleepFM, that tackles the links between sleep patterns and overall health.