Machine learning (ML) has the potential to transform oncology and, more broadly, medicine. 1 The introduction of ML in health care has been enabled by the digitization of patient data, including the ...

Researchers discuss the development and validation of a combined model for the early diagnosis of lung cancer.

Clinicians need tools that help to monitor and prioritize the literature to understand the clinical implications of pathogenic genetic variants. We developed and evaluated two machine learning models ...

Researchers review the application of machine learning in improving cancer diagnosis, treatment, and prognosis.

A Michigan Tech-developed machine learning model uses probability to more accurately classify breast cancer shown in histopathology images and evaluate the uncertainty of its predictions.

Machine learning algorithms can help predict positive resection margin and lymph node metastases among patients with pancreatic ductal adenocarcinoma, according to study results.The approach ...