The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare ...
A large study found specific gut microbes associated with future type 2 diabetes years before diagnosis. The findings suggest ...
BACKGROUND: Screening for atrial fibrillation (AF) on the basis of AF risk may be more effective. We aimed to develop, ...
James McDonagh discusses how AI and machine learning are transforming drug discovery and safety assessment, enhancing ...
Haonan Chen, a CSU associate professor of electrical and computer engineering, and his team have published research that ...
Subseasonal forecasting, or the ability to predict weather trends two weeks to two months in advance, is a capability highly ...
As generative AI captures public attention, a different kind of AI is reshaping drug discovery. Machine learning models are ...
A machine learning-based equation may estimate low-density lipoprotein cholesterol as accurately as the widely validated ...
Most people visit a doctor after something feels wrong. A headache refuses to go away, fatigue becomes constant, or a routine test reveals a problem.
Artificial intelligence (AI) is helping nurses better predict health problems before they become emergencies, according to a ...
A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...
Some AI models designed to predict stroke and diabetes risk may be based on datasets whose origins cannot be verified, according to new research. The study, published in BMC Medicine and led by ...
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