PanGIA Biotech Announces Peer-Reviewed Study in Diagnostics Showing 97.8% Sensitivity in Detecting Prostate Cancer Using a Urine-Based Liquid Biopsy with Mac…

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

PinkDx Publishes Groundbreaking Evidence in Endometrial Cancer Detection Using a Simple Vaginal Swab

The Gyne Cancer Company™ — today announced the publication of peer-reviewed evidence demonstrating that molecular signals ...
Technology Networks

Machine Learning Model Predicts Liver Cancer Risk Using Routine Clinical Data

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

Machine learning model predicts liver cancer risk with high accuracy

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 ...
Technology Networks

Simple Blood Test Can Detect Multiple Cancers From a Single Sample

Scientists have developed a simple and cost-effective blood test that shows promise for detecting multiple cancers, various ...
TMCnet

Cancer Is Striking Earlier -- Superpower and GRAIL Are Partnering to Expand Early Detection

Partnership expands access to breakthrough blood-based cancer screening into Superpower's comprehensive health check and personalized plans. SAN FRANCISCO, April 1, 2026 /PRNewswire/ -- Superpower, ...
The Hearty Soul on MSN

New AI tool might predict pancreatic cancer risk years before diagnosis

Pancreatic cancer rarely announces itself early. It often grows in deep tissue, causes vague symptoms, and reaches medical ...
Forbes

Experimental Blood Test Shows Promise For Detecting Cancers Earlier

Forbes contributors publish independent expert analyses and insights. Greg Licholai writes and teaches about innovation in healthcare. It should be noted that the Galleri test not currently ...
ascopubs.org

Machine Learning Model Integrating Computed Tomography Image–Derived Radiomics and Circulating miRNAs to Predict Residual Teratoma in Metastatic Nonseminoma Testicular Cancer

This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...