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.

Final random-forest-based models outperformed all publicly available risk scores on internal and external test sets.

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...

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 ...

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 ...

ASCO Guidelines provide recommendations with comprehensive review and analyses of the relevant literature for each recommendation, following the guideline development process as outlined in the ASCO ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Want another example of a critical way station on the path to genomic cures with AI? One ...

At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...