As the diagnostic landscape evolves, several patterns are emerging across both clinical research and market innovation.
Researchers at Fox Chase Cancer Center, Temple University's College of Engineering, and the Lewis Katz School of Medicine at Temple University have developed a new method that enhances the ability of ...
Scientists developed a way of using artificial intelligence to check for skin cancer with the AI tool, which was trained on data from 53,601 skin lesions from 25,105 patients, outperforming existing ...
Researchers at the University of California San Diego School of Medicine have developed a new approach for identifying individuals with skin cancer that combines genetic ancestry, lifestyle and social ...
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 ...
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New AI model reveals key genetic, social, and lifestyle factors impacting skin cancer risk
Skin cancer impacts millions of Americans annually, but your chances of getting skin cancer and when it is diagnosed depend on much more than just sun exposure. A new study building off the NIH’s All ...
According to the American Cancer Society, more than 100,000 people will be diagnosed with melanoma this year. The good news is now that treatments have advanced, death rates have declined. Diagnostic ...
The implementation of a modified Skin and Ultraviolet Neoplasia Transplant Risk Assessment Calculator (SUNTRAC) risk-based surveillance program, which included primary care, dermatology, and ...
Cancer diagnoses traditionally require invasive or labor-intensive procedures such as tissue biopsies. Researchers at the Ludwig-Maximilians-Universität München (LMU) have now reported on a method ...
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