MultiTaskLearning

AI

AI that jointly assesses chronic diseases and depression from wearables

Wearables are reshaping healthcare, but most AI models track one physical condition at a time and overlook depression—despite frequent overlap. This study reframes multi-disease assessment as a multi-task learning problem, letting one model learn several conditions jointly and use their relationships to improve accuracy. The catch is “double heterogeneity”

AI

One AI model to track body and mind from wearables

Wearables and AI are reshaping healthcare, but most tools track only physical diseases. That misses depression, which often coexists with chronic conditions. This study introduces one model that assesses multiple chronic diseases and depression together, using data from everyday sensors. It treats each disease as its own task, so the