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, ...
For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
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 ...
Pass your NMLS exam on the first attempt with OnCourse Learning’s top-tier exam preparation tools. These courses are tailored to help you succeed with features like: OnCourse Learning’s exam prep ...
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Cracking the code of a hidden cancer receptor: How scientists found the first true Frizzled blocker
The human body contains thousands of proteins that act as receivers of various signals. One particular group, the Frizzled receptors, enables cells to communicate and plays a crucial role in tissue ...
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