Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more personalized vaccines, including vaccines for cancer. They described the tool in ...

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

Research from the University of Warwick suggests that many AI systems may be using visual shortcuts rather than true biology, ...

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 ...

We trained and tested ML systems that predict a deterioration in nine patient-reported symptoms within 30 days after treatments for aerodigestive cancers, using internal electronic health record (EHR) ...

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 ...

A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...

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 ...

A new machine learning tool hints at the breath of bogus papers in cancer research and reveals how attractive this research ...