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.
6d
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 ...
For its 2nd anniversary, Callisto DataHub offers free annotated datasets of 50 suspected lung cancer X-rays and 50 ...
Multiple myeloma is a cancer in which plasma cells, which normally produce antibodies, multiply uncontrollably in the bone marrow. There is currently no cure. However, various therapies can stabilize ...
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 ...
AI is being used across cancer care for prevention, diagnosis, treatment, survivorship and end-of-life support, improving ...
5don 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 ...
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