8d
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 ...
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 ...
AI is being used across cancer care for prevention, diagnosis, treatment, survivorship and end-of-life support, improving ...
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 ...
7don MSN
Wet lab research and deep machine learning identify a key driver of long-term inflammatory memory
One of the most puzzling aspects of common chronic inflammatory skin diseases such as psoriasis is how they become chronic.
Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
Gynecological malignancies, including ovarian, endometrial (uterine), and cervical cancers, represent a substantial global health burden. Cervical cancer ...
The integration of imaging and artificial intelligence has radically transformed the landscape of radiotherapy, positioning advanced imaging modalities such ...
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