We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, ...

The model has the potential to transform the ability to study telomere biology, learn more about human aging, and ultimately help people preserve better health as they age.

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

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 ...

For its 2nd anniversary, Callisto DataHub offers free annotated datasets of 50 suspected lung cancer X-rays and 50 ...

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 is being used across cancer care for prevention, diagnosis, treatment, survivorship and end-of-life support, improving ...

Deciding whether to administer chemotherapy after surgery is one of the most challenging questions in early-stage breast cancer care. While chemotherapy can reduce the risk of recurrence, most ...

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

When his beloved dog was given months to live, an Australian man harnessed the power of machine learning and mRNA technology ...