Researchers at the University of California San Diego School of Medicine have developed a new approach for identifying ...

UC San Diego researchers developed a machine learning model that accurately predicts skin cancer risk across ancestries, improving equity in early detection and outcomes using genetics, lifestyle, and ...

Researchers at Fox Chase Cancer Center, Temple University's College of Engineering, and the Lewis Katz School of Medicine at ...

In earlier times, cells would have to be hand-checked, in a process that took time and effort and offered little reward.

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

The biggest mistake you can make is thinking something can't happen to you. It's what's almost prevented Raheem Mostert from getting his moles checked out, simply writing them off as "beauty marks." ...

Australia needs to be innovative when it comes to skin cancer detection by embracing a nurse-led model that could save thousands of lives in the long run, according to a new paper. Subscribe to our ...