Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...

Artificial intelligence is no longer just spotting tumors a little faster than humans. In study after study, machine learning systems are uncovering hidden patterns in cancer data that even veteran ...

Cancer remains a leading cause of morbidity and mortality worldwide, presenting immense challenges to public health systems. Despite major advances in ...

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

A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled “SAMP-Score: a morphology-based machine learning classification method for ...

Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude ...

Shilpa S. Murthy, an Indian American early career investigator at Yale Cancer Center has been awarded a prestigious $1.1 ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...