There seems to be a modern day gold rush as companies explore how to use machine learning in clinical decision support software. Unfortunately for libertarians, FDA will regulate some of that software ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking ...

Major depressive disorder (MDD) is a debilitating mental health condition characterized by persistent low mood, loss of interest in everyday activities, appetite changes, sleep disturbances and, in ...

Machines can learn not only to make predictions, but also to handle causal relationships. An international research team shows how this could make therapies safer, more efficient, and more ...

EEG-based machine learning predicted SSRI treatment response in depression with high accuracy. Learn how brain signals could ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...

In the quest for sustainable and efficient water treatment solutions, a new study titled "Enhanced Machine Learning Prediction of Biochar Adsorption for Dyes: Parameter Optimization and Experimental ...

University of Florida researchers have developed a system designed to identify patients at high risk of discontinuing buprenorphine treatment for opioid use disorder. An FDA-approved prescription drug ...

A multi-institutional research team has demonstrated how artificial intelligence and machine learning can optimize therapy selection and dosing for septic shock, a life-threatening complication that ...

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes-insights that could help doctors ...