Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer.

A new light-based sensor can spot incredibly tiny amounts of cancer biomarkers in blood, raising the possibility of earlier ...

Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.

When scientists sequence tumor DNA, they typically find small amounts of genetic code from bacteria, viruses and fungi – microorganisms that, if actually present in tumor tissues, could influence how ...

Artificial intelligence may soon help identify dangerous skin cancers, including melanoma, thanks to groundbreaking research at the University of Missouri. The study used a database of over 400,000 ...

A tool for spotting pancreatic cancer in routine CT scans has had promising results, one example of how China is racing to apply A.I. to medicine’s tough problems. Self-service kiosks at the ...

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) ...

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 ...

Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.

HILL AND NC STATE IN 12. ON YOUR HEALTH NEWS, WE ARE LEARNING MORE ABOUT A WEARABLE PATCH THAT COULD HELP WITH EARLY SKIN CANCER DETECTION. OUR WANYA REESE TALKED WITH RESEARCHERS AT WAKE FOREST ...

Please provide your email address to receive an email when new articles are posted on . Patients are increasingly using AI to diagnose their dermatologic conditions and triage malignant lesions.