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 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 ...

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 ...
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 ...
Frontline

Black Hole’s wild youth; the genome’s soft spot; AI gives sodium batteries a shortcut

New evidence reveals the Milky Way’s black hole once erupted, genes hide mutation hot spots, and AI accelerates sodium ...

Pharmacy professor develops AI model to predict hospitalization of at-risk cardiac patients

When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...
The Daily Pennsylvanian

From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence

Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.
Scientific Research Publishing

Hydrogels in Drug Delivery: Past Developments, Current Innovations, and Future Directions ()

Hydrogels are among the most widely studied biomaterials in modern drug delivery research. Their high hydrophilicity, ...