Mental Health & Neuroscience — AI medical research

DepressionAI accurately detects early and later stages of depression using wearable sensors.This could help researchers identify depression early using wearable data and improve timing for studies on therapy effectiveness.BrainRead →
Dementia EtiologyAI helped classify different types of dementia using blood protein patterns.This could help researchers find better ways to tell dementia types apart early and with less invasive tests, which may point toward better studies and treatments if validated further.BrainRead →
Mental Health Emergency ReturnsAI improved prediction and explanation of mental health emergency return risks.Better prediction and clearer explanations could help researchers design studies to reduce repeat emergency visits for mental health issues if validated further.BrainRead →
Post-Stroke Cognitive ImpairmentAI classified oral microbes to spot cognitive changes after stroke with nearly 98% accuracy.This could help researchers spot links between mouth bacteria and brain health after stroke, aiding future larger studies and better measurement methods.BrainRead →
Cancer-Related Fatigue In Ovarian CancerAI predicted cancer-related fatigue risk reliably in ovarian cancer patients early in their care.This could help researchers identify patients at high risk for fatigue sooner, enabling better research on targeted support. If validated further, it may improve study designs for fatigue management.Cancer researchRead →
Cognitive Decline In Older AdultsAI chatbot plus group chat helped older adults improve thinking skills and feel more supported.This could help researchers find better ways to keep older adults engaged in brain exercises and social support, possibly leading to stronger results in slowing cognitive decline if verified further.BrainRead →