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.
The Indian Institute of Science has announced an online course on machine learning for 6G wireless communication under its Centre for Continuing Education (CCE). The programme is scheduled to run from ...
Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...
A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
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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 ...
IAEA launches a new research project on data-driven prediction of structural changes in polymers induced by radiation. The IAEA is inviting research organizations to join a new project that will use ...
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 ...
Around 20–40% of the general population are estimated to have insulin resistance—a condition where insulin begins to be less effective in the body, and glucose regulation becomes more difficult.
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