Skin cancer is the most commonly diagnosed cancer in the United States, affecting one in five Americans during their lifetime. While basal cell carcinomas (BCCs) and squamous cell carcinomas (SCCs) ...
News-Medical.Net on MSN
AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
On November 11, 2025, CheckMySpot(R) , the Direct Access Platform(TM) for early skin cancer detection, was honored during the 2025 National Alliance of Healthcare Purchaser Coalitions Annual Forum ...
Tech Xplore on MSN
No-code machine learning development tools
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...
The researchers developed an AI model to design peptides (short proteins) that are targeted by enzymes called proteases, ...
A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
News-Medical.Net on MSN
Digital twin technology guides personalized treatment for brain cancer patients
A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
The market is rapidly transitioning from episodic diagnostics to continuous health monitoring. By 2035, the integration of ...
Scientists at MIT and Stanford have unveiled a promising new way to help the immune system recognize and attack cancer cells more effectively. Their strategy targets a hidden “off switch” that tumors ...
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