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 ...
Melting ice in the Arctic is causing an increasing amount of freshwater to enter the North Atlantic, which is expected to ...
22hon 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.
Despite making up half of the 64 million people living with heart failure, patients with this common form have no access to ...
As world leaders, investors, and innovators gather at COP30, the focus is shifting from promises to performance.
Personify Health’s Dave Thomas and Beyond Health’s John Kirk detail how a unified “digital front door,” real-time advocacy, ...
Toronto Life on MSN
The Influentials 2025
In a world first, Lipsman and his team in Sunnybrook’s Hurvitz Brain Sciences Program non-invasively breached the blood-brain ...
Late-breaking results from clinical trials, debates about lifestyle choices and cardiovascular risk, and improving clinical care with generative AI are among the topics being presented by UC San ...
Explore the geogenic causes, affected regions (West Bengal, Bihar, UP), and long-term health effects of arsenic in Indian ...
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