A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

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 ...

Novel computational techniques have rapidly developed in the last decade. Software engineers and computer programmers are pushing the boundaries of what we can do using machine learning as an ...

With listing approved by authorities, device that destroys cancer cells with ultrasound waves could become more widely used in public hospitals A cutting-edge machine donated by Hong Kong tycoon Li Ka ...

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) ...

For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...

Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the journal Proceedings ...