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

The premise is straightforward — we are awash in biological data. The rapid growth of multiomics datasets (genomics, transcriptomics, proteomics, metabolomics, and radiomics) together with ...

Air conditioning is the most effective tool to prevent heat-related illness.

Everything you need to need to know about the largest US startup funding rounds of May 2026; broken down by industry, stage, ...

Researchers evaluated whether accelerometer-derived sleep-wake characteristics can enhance dementia risk prediction models in older adults.

Smartwatches may transform blood sugar tracking, but today’s advances depend on CGMs, AI, and regulated health tech ...

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

As the craze of earnings season draws to a close, here’s a look back at some of the most exciting (and some less so) results ...

Healthcare leaders have spent the last two years asking what AI can do. Can it write notes? Analyze research? Predict outcomes? Improve efficiency? At Becker’s 23rd Annual Spine, Orthopedic and Pain ...

When psychologist Raluca Rilla asked volunteers to complete a survey last year, she got the following response to one of her questions: “I don’t experience confusion in the same way humans do.” Rilla, ...