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 ...
Final random-forest-based models outperformed all publicly available risk scores on internal and external test sets.
Findings support model in which accelerated biological aging of mammary epithelia may underpin breast cancer susceptibility ...
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 ...
A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung ...
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