This Collection supports and amplifies research related to SDG3, SDG9 and SDG10. Physics-Informed Machine Learning (PI-ML) combines principles from physics- and biology-based modeling with data-driven ...

Millions of people are diagnosed with Alzheimer's disease each year, comprising 60% to 70% of dementia cases worldwide. While cognitive impairment and structural brain changes are indicative of ...

Artificial intelligence shows promise for improving care for peripheral artery disease through earlier detection, improved ...

A model made using machine learning can predict if CPAP use in patients with obstructive sleep apnea will benefit or harm their cardiovascular health, according to findings published in Communications ...

A tool developed by the American Heart Association (AHA), proven to accurately predict heart disease risk for Americans, can be applied to the global population, a new study led by NYU Langone Health ...

Researchers at the University of Glasgow have developed a new way to test networks, which they claim is 25,000 times faster than traditional approaches. Shenjia Ding, a research student at the ...

A new AI blood test may forecast major cardiovascular disease risks years before clinical onset by reading real-time ...

EMBL researchers created SDR-seq, a next-generation tool that decodes both DNA and RNA from the same cell. It finally opens access to non-coding regions, where most disease-associated genetic variants ...

The team built a DenseNet – a densely connected convolutional neural network – that learns hierarchical features directly ...

Researchers at the Mayo Clinic in Rochester have just announced the results of a new study which used Artificial Intelligence to predict heart disease. When you think of fat, most of us look at our ...

April 29 (Reuters) - We also report below on early data that poses a possible solution to a devastating pregnancy complication, and a potential breakthrough treatment for liver transplant patients. A ...