Lung cancer remains the leading cause of cancer-related deaths worldwide, accounting for nearly one in five cancer deaths—around 1.8 million lives lost each year. One of the main reasons is late ...

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

A new study reveals that gut bacteria and metabolites may hold the key to detecting serious digestive diseases earlier and more easily. Using AI, scientists found that biomarkers linked to one ...

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.

AI enhanced MRI improves prostate cancer detection accuracy, outperforming traditional methods and supporting better diagnosis.

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 ...

The integration of bioinformatics and medical imaging, often referred to as radiogenomics, has emerged as a powerful and transformative approach in cancer ...

KTALnews.com (KTAL/KMSS) – With March being National Colorectal Cancer Awareness Month, there’s never been a better time to screen for the disease. CRC is the 2nd-leading cause of cancer deaths in the ...

Cancer is often difficult to detect in its early stages. Biomarkers that can reveal the disease are present only in very small amounts in the blood. As a result, many tests today require additional ...