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

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.

Drug resistance remains a central barrier to durable responses across cancer therapies, spanning targeted agents, cytotoxic chemotherapy, endocrine ...

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 ...

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 ...

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

A romantic link is about to be presented to you as a surprise, shining and smiling. Ganesha advises you to be prepared in your best dress and to practice some romantic talking. You never know what the ...

Recognizing Deafblindness: a distinct disability requiring specialized support and inclusion Deafblindness is a combined vision and hearing impairment of such severity that it is hard for the impaired ...