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

Cancer cells excel at evading detection, but subtle chemical differences set them apart from healthy cells. Now, a team of ...

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

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

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

A massive Swedish study shows that AI can spot people at higher risk of melanoma using routine health data. Advanced models ...

In the current global oncology landscape, solid tumors comprise over 70% of all cancer cases. They are responsible for the majority of cancer-related ...