Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on clinicopathological features offer limited predictive accuracy and lack ...
Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.
5don 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.
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 ...
Google DeepMind just released WeatherNext 2, an updated AI weather model. It's up to eight times faster than the previous ...
13hon MSN
Mapping the future: AI deciphers alloy microstructures to enhance properties prediction and design
In a world of 8 billion people, there's one thing that makes each of us unique: our fingerprints. A variety of genetic and ...
Overview: Model development requires structured deployment and monitoring to remain reliable over time.Consistent data and environment control prevent accuracy ...
News-Medical.Net on MSN
New model uses social media patterns to predict disease outbreaks
Vaccination rates are falling in many communities due to widespread misinformation and previously eliminated or controlled ...
The University of Connecticut has partnered with Eversource, the state’s lead energy provider, in a research effort to predict extreme weather events and their effects on energy systems and ...
A new artificial intelligence tool that can create virtual representations of patients and predict individual health ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results