PanGIA Biotech, Inc. ("PanGIA") announced a peer-reviewed clinical study published in Diagnostics, "Urine-Based Machine Learning Assay Detects Prostate Cancer," (1) demonstrating clinical validation ...

Bottom line: A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), ...

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 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 ...

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 ...

Vittorio Fortino has been appointed as Professor of Bioinformatics and Machine Learning at the University of Eastern Finland.

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 ...

A machine learning model can accurately predict an individual’s risk of developing hepatocellular carcinoma (HCC) using routine clinical data, according to a new study. The findings point to a ...

A machine learning model can predict hepatocellular carcinoma (HCC) risk using routinely available data, according to a study ...