People whose sleep brain waves register as biologically older than their actual age face a sharply elevated risk of ...

Objective To investigate the association between attention-deficit/hyperactivity disorder (ADHD) and cardiometabolic risk profile at the time of type 2 diabetes (T2D) diagnosis and examine ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

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Fourteen members of the University of Chicago faculty have received distinguished service professorships or named professorships.

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If we want to improve people’s health outcomes, prevention must move “from aspiration to delivery”, says new University of ...

The global artificial intelligence in diagnostics market size is expected to reach USD 9.68 billion by 2033, registering a compound annual growth rate (CAGR) of 21.7% from 2026 to 2033, according to a ...

As AI continues to reshape industries and spark critical conversations around innovation, access, and technology, FIU ...

Glucose tracking is moving beyond diabetes care as CGMs, AI platforms, and wearable sensors reshape personalized health data and wellness tools. Blood sugar is becoming the next number wellness ...

NEW YORK, NY (May 13, 2026)—An analysis of biological clocks throughout the human body suggests that too few hours of sleep—and too many—may speed aging in the brain, heart, lung, and immune system ...