The continuous assimilation of knowledge by artificial intelligence systems relies on a delicate compromise between their ...

Lumo leverages advanced machine learning to reduce calibration time, and flag low-confidence response factor predictions.

A novel electronic health record-based prediction model successfully identified patients who were at the highest risk of developing type 2 diabetes up to 10 years later. Researchers presented the ...

The Diagnostic Window Bottleneck: Neurologists rely heavily on EEGs to diagnose epilepsy, but standard clinical sessions provide only a 20-minute snapshot of brain activity, making manual detection ...

UC San Diego researchers report substantial decreases in depression symptoms by tailoring behavioral interventions based on ...

A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with ...

Depression is a highly common mental health condition that affects millions of people worldwide. Medical professionals have ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Machine-learning iMAP coaching track achieves a 55% depression remission rate by personalizing lifestyle targets.

A report in the Journal of Medical Internet Research shows developments in the evidence gap in drug safety during pregnancy ...