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 ...
In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
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 ...
A massive Swedish study shows that AI can spot people at higher risk of melanoma using routine health data. Advanced models ...
Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and ...
AI models can generate more complete summaries of complex cancer pathology reports than physicians, according to a new ...
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