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) ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

IVDs are essential for disease detection, personalized treatment, and public health, driving growth in the global diagnostics ...

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 ...

Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

WINSTON-SALEM, N.C. — Researchers at Wake Forest University School of Medicine are developing a new at-home device they hope will help people identify potential skin cancer risks earlier and encourage ...

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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