PanGIA Biotech, Inc. ("PanGIA") announced a peer-reviewed clinical study published in Diagnostics, "Urine-Based Machine ...

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

Artificial intelligence (AI) could help physicians determine if survivors of childhood cancer need extra support - and the more information included in AI prompting, the better its performance. This ...

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), the most common ...

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) ...

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

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.

Test Now Incorporates Enhanced Machine Learning Risk Prediction Algorithm Plans Underway to Commercialise Testing Service Through Trinity Biotech’s New York Reference Laboratory DUBLIN and NEW YORK, ...

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 ...