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

An exploration of how targeted nanoparticles and artificial intelligence algorithms combine to locate prostate cancer earlier ...

In a National Institutes of Health (NIH)-funded study, researchers developed a cancer assessment tool that can identify high-risk patients and the tumor cells linked to that risk.

Researchers at City of Hope, a cancer research and treatment organization, and the University of California, Berkeley, have ...

What are the benefits and challenges of using multiomics approaches to discover cancer biomarkers? Multiomics means that scientists are measuring more than one class of analyte, such as DNA, RNA, or ...

Prostate cancer remains one of the most common diseases among men, yet current screening methods often lead to unnecessary ...

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.

Machine learning and other forms of artificial intelligence have already been repeatedly proven to deliver faster, more consistent diagnoses than human physicians, but they may increase overdiagnosis ...

The evidence isn't there yet for routine use, but Michael Leapman, MD, urologic oncologist and associate professor of oncology at Yale School of Medicine, discusses what the future may hold for ...