A skin cancer diagnosis can seem to arrive out of nowhere. But buried in years of health records, prescription histories, and ...
Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...
Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...
Katlein Franca, MD, is a dermatologist and clinical associate professor of Dermatology & Cutaneous Surgery and Psychiatry & Behavioral Sciences at the University of Miami. Basal cell carcinoma often ...