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 ...

ROCHESTER, Minn. (KTTC) – A Rochester teen is using his love for technology to help detect early signs of skin cancer right ...

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, ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to recognize biology may no longer be enough. When you purchase through links on our ...

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 ...

Derek's love of games came at an early age when his parents first brought home the Nintendo Entertainment System. From then on, countless nights were spent hunting ducks, stomping turtles, exploring ...

The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...