Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...

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 ...

McGill University researchers have developed an artificial intelligence tool that can identify small groups of cells most ...

Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.

Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...

Drug resistance remains a central barrier to durable responses across cancer therapies, spanning targeted agents, cytotoxic chemotherapy, endocrine ...

Healthcare registry data can show early risk patterns for melanoma skin cancer, according to a study from the University of ...