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.
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A machine learning model may enable liver cancer risk prediction with routine clinical information
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
The IAEA is inviting research organizations to join a new project that will use machine learning to better predict structural changes in polymers caused by ionizing radiation. Rad ...
Ophthalmology pioneered the clinical use of artificial intelligence (AI). Beyond automating routine tasks, including retinal ...
Clinically, I trained as a radiation oncologist, but since the start of my career I've had a faculty role, cross-appointed ...
Triple-negative breast cancer (TNBC) remains one of the most clinically challenging breast cancer subtypes, defined by the absence of estrogen receptor, ...
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