Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.
In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...
Cancer metabolism has re-emerged as a central hallmark of tumor initiation, progression, and therapeutic resistance. Advances in high-throughput ...
At SMH's Brian D. Jellison Cancer Institute, 75 percent of lung cancers diagnosed in 2025 were caught at their earliest, most ...
ORGAPRED, a France-based core facility specializing in Patient-Derived Tumor Organoid (PDTO) research, has selected the ...
AI models can generate more complete summaries of complex cancer pathology reports than physicians, according to a new ...
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