Of the many feats achieved by artificial intelligence (AI), the ability to process images quickly and accurately has had an ...

Researchers have developed a highly sensitive light-based sensor that can detect extremely low concentrations of cancer biomarkers in the blood. The new technology could one day make it possible to ...

LONGMONT, Colo. — A new breast imaging technology now available in northern Colorado is helping doctors detect breast cancer earlier in some women with dense breast tissue, as rates of the disease ...

Cancer is a leading cause of death in both humans and pets; studies suggest that between one-third and one-half of all dogs will develop cancer during their lifetime. Hemangiosarcoma, an aggressive, ...

Labcorp is adding to its suite of tests designed to detect cancer recurrence much earlier than traditional imaging. The line includes the company’s Plasma Detect ID, a whole exome sequence-guided, ...

Lauren Pastrana is the co-anchor of CBS4 News weeknights at 5, 6, 7 and 11 p.m. She joined CBS Miami in April 2012 as a reporter. She is an Emmy-nominated, multimedia journalist with experience in ...

CLEVELAND, Ohio — Pancreatic cancer stands apart from many common cancers for a troubling reason: There is no standard screening test to catch the disease early, when treatment is most effective. That ...

Researchers have developed an AI-based tool that accelerates the detection of kidney cancer. Its effectiveness was validated in a study published in Communications Medicine. Diagnosing kidney cancer ...

A mom has revealed how a simple camera flash could detect a rare childhood cancer that her twins were diagnosed with at just 3 weeks old. Within days of welcoming her twin daughters, Maryann Oakley’s ...

The tests have not been approved by federal regulators, but that hasn’t stopped patients from wanting them — and doctors from worrying. By Nina Agrawal In the spring of 2021, the cancer field was ...

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 ...

Automated skin lesion classification using ResNet50 transfer learning on HAM10000 dataset. Achieved ~83% accuracy across 7 diagnostic categories. MATLAB implementation for VCU Image Analysis course.