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 ...
In earlier times, cells would have to be hand-checked, in a process that took time and effort and offered little reward.
Skin cancer impacts millions of Americans annually, but your chances of getting skin cancer and when it is diagnosed depend ...
Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.