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 ...

When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing. Dust and rock collected from the asteroid Bennu ...

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 ...

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

By focusing on the one mole that does not match the rest, doctors are improving early melanoma detection while avoiding ...

Environmental Protection Agency (EPA) Administrator Lee Zeldin revealed in a Sunday afternoon post to X he was diagnosed with and beat a form of skin cancer. Zeldin, in his post, expressed gratitude ...

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 ...