A recent Nature Medicine study combines measurements of plasma proteins and clinical information to construct sparse prediction models for the 10-year incidence of several rare and common diseases.
Machine learning sharpens CAD prediction but falls short in detecting plaques most likely to cause cardiac events in patients ...
In a recent IEEE Transactions on Neural Systems and Rehabilitation Engineering study, researchers discuss the development of an automated system using machine learning (ML) algorithms that can ...
Stanford University researchers developed a machine learning-based method capable of diagnosing multiple diseases using B ...
Researchers at the University of California San Diego School of Medicine have developed a new approach for identifying ...
Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
We can use AI to classify cell types, decode their language, and understand how they interact with one another—are the cells ...
Low-dose computed tomography (LDCT) screening is effective in reducing lung cancer mortality by detecting the disease at earlier, more treatable stages. However, high false-positive rates and the ...
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