This model was trained and tested on a 70%/30% split (train/test result cohort), achieving an area under the receiver operator curve on the test set of 0.866 (95% CI, 0.857 to 0.875). Assigning a ...

Please provide your email address to receive an email when new articles are posted on . Machine learning models can predict which patients receiving lung cancer therapy may need urgent care visits.

This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

TrialTranslator uncovers the survival gap for high-risk patients and offers a path to better cancer research. Study: Evaluating generalizability of oncology trial results to real-world patients using ...

When cancer spreads, tiny amounts of cells can break away from tumors and circulate in the bloodstream. A liquid biopsy is a means to detect the presence of cancer by detecting these cancer cells ...

The clinical and biological features proposed here in conjunction with ML can improve the interpretation of CRC mechanisms and predict patient ...

A recent study reveals that integrating Artificial Intelligence (AI) into colon cancer diagnosis over the past five years has ...

CNW/ - Syantra, Inc., a biotechnology company revolutionizing cancer detection, is announcing Scottsdale, Arizona based ...

Dr. James Jakub, Surgical Oncologist and Professor of Surgery and Dr. Pooja Advani, Breast Medical Oncologist and Researcher, both of Mayo Clinic in Florida, will serve as Co-Principal Investigators ...