As world leaders, investors, and innovators gather at COP30, the focus is shifting from promises to performance.
Research led by Roger S. Seymour (University of Adelaide) and Edward P. Snelling (University of Pretoria) Those impossibly long legs that make giraffes look like they’re walking on stilts aren’t just ...
Personify Health’s Dave Thomas and Beyond Health’s John Kirk detail how a unified “digital front door,” real-time advocacy, ...
The Healthy @Reader's Digest on MSN
Research: Doing This One Thing for 90 Minutes After Your Flu or COVID Vaccine Maximizes Your Immunity
With the arrival of flu season, pairing your vaccination with an exercise session could give your body a protective boost. Just remember: moderation and consistency are key. A simple daily movement ...
Toronto Life on MSN
The 50 most influential Torontonians of 2025
Resch has spent 2025 building her off-court roster for the Tempo, the WNBA’s first franchise outside the US. Just who will ...
Misinformation, medical mistrust, and low health literacy rates have left many Black Americans with the wrong information about organ donation, leading to lower donation rates and higher mortality ...
News-Medical.Net on MSN
Machine learning model boosts success of liver transplants from circulatory death donors
There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...
Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...
9hon MSN
Machine-learning model could save costs, improve liver transplants, Stanford-led research shows
A machine learning-based model predicts how long it will take an organ donor to die after removing life support, aiding surgeons in deciding whether organs can be successfully transplanted.
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
The first ever "humanized" model for aortic valve calcification paves the way for testing potential treatments.
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