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

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 ...

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.

Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer ...

COLUMBUS, Ohio – Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with ...

Immune-related diseases (IRDs) represent a multifaceted field spanning autoimmune disorders, oncological conditions, and immunotherapy-linked complications.

The studies, funded by the National Cancer Institute, focus on bladder cancer and basal-like breast cancer, a very aggressive kind of breast cancer. “The strength and innovation of the projects are ...

Test Now Incorporates Enhanced Machine Learning Risk Prediction Algorithm Plans Underway to Commercialise Testing Service Through Trinity ...

Gynecological malignancies, including ovarian, endometrial (uterine), and cervical cancers, represent a substantial global health burden. Cervical cancer ...