The dual-modal technique combining OCT and Raman spectroscopy achieved 96.9% accuracy in differentiating melanoma from benign lesions. Early melanoma diagnosis is critical, with a 99% 5-year survival ...

PEORIA, Ill. (WMBD) — May is skin cancer awareness month due to increased outdoor activities, but skin cancer signs and treatments don’t take the other 11 months off. There are five million cases of ...

WINSTON-SALEM, N.C., Oct. 22, 2025 — Researchers at Wake Forest University School of Medicine have developed a groundbreaking, battery-free wearable patch that could help detect skin cancer earlier ...

University of Missouri researchers say combined AI models could improve early melanoma detection using 3D skin imaging.

Skin cancer is the most common form of cancer worldwide, and early detection is key to successful treatment. While traditional methods rely on visual inspection and biopsy, researchers are developing ...

A future where artificial intelligence will guide skin cancer detection is in sight, experts say, even as human care remains essential. “The whole ecosystem has really matured and we are now past the ...

Researchers at Wake Forest University School of Medicine designed a flexible, chip-less, battery-free patch that is placed directly on the skin and works wirelessly with a small reader device. (Wake ...

Researchers at Fox Chase Cancer Center and Temple University have developed a new method that enhances the ability of artificial intelligence models to detect and diagnose skin cancer in individuals ...

The implementation of a modified Skin and Ultraviolet Neoplasia Transplant Risk Assessment Calculator (SUNTRAC) risk-based surveillance program, which included primary care, dermatology, and ...