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 ...
For its 2nd anniversary, Callisto DataHub offers free annotated datasets of 50 suspected lung cancer X-rays and 50 ...
In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.
Drug resistance remains a central barrier to durable responses across cancer therapies, spanning targeted agents, cytotoxic chemotherapy, endocrine ...
Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...
Healthcare registry data can show early risk patterns for melanoma skin cancer, according to a study from the University of ...
Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and ...
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