Sweat is turning into one of medicine’s most revealing data streams, and artificial intelligence is learning how to read it.

A new study used 3M person-days of Apple Watch data to develop a foundation model that predicts medical conditions with ...

Your skin is in a constant state of reinvention. Every month, your body sheds and regenerates its entire outer layer—a ...

The field of dermatology has witnessed remarkable progress in the prevention and treatment of skin diseases over the past ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

Bovine respiratory disease (BRD)—a type of pneumonia—is the leading cause of death for dairy calves after they become ...

Preemptive control of heavy-hitting diseases like white mold, frogeye leaf spot, Cercospora leaf blight and others is now ...

Published in the Journal of Pharmaceutical Analysis, the research explores how sweat could be used to follow changes in ...

This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...

The Integrated Disease Surveillance Programme has been using Artificial Intelligence tools since April 2022 to detect early warning signals and generate alerts for the timely management of potential ...

Sweat contains a wealth of biological information that, with the help of artificial intelligence and next-generation sensors, ...

Comparing unknown compounds in a patient’s blood, urine or other biological sample to those in the Global Natural Product ...