Lung cancer remains the leading cause of cancer-related deaths worldwide, accounting for nearly one in five cancer deaths – ...

Researchers have developed a cutting-edge technique that uses RNA “barcodes” to map how neurons connect, capturing thousands ...

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 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 ...

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 new hybrid AI model improves lung cancer detection on CT scans, achieving over 96% accuracy for early tumour identification ...

Alice Chawner has had five surgeries since an MRI scan revealed she had a brain tumor after the fall Lexi Lane is a weekend banking writer at PEOPLE. She first joined as a member of the PEOPLE App ...

Researchers at The University of Texas MD Anderson Cancer Center have discovered a new blood-based biomarker that can help ...

A machine-learning analysis of brain waves recorded during sleep may help identify people at high risk of developing dementia, according to a study led by UC San Francisco and Beth Israel Deaconess ...