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 ...

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 ...

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 ...

A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used Quantum Machine Learning (QML) to identify cancer early.

Raman spectroscopy, paired with AI, offers a non-invasive method for detecting skin cancer, showing good diagnostic accuracy. Regulatory challenges and machine bulkiness limit the clinical adoption of ...

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 ...

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 ...

Overview: AI is transforming medical diagnosis by allowing earlier and more accurate disease detection.Machine learning ...