A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
Recent advances in machine learning have markedly enhanced the forecasting of groundwater levels, a critical factor in managing dwindling water resources worldwide. The integration of sophisticated ...
Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...
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 ...
A machine learning model predicts low-density lipoprotein cholesterol from routine lab data, offering a low-cost way to ...
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 ...
NEW YORK, NY, UNITED STATES, March 28, 2026 /EINPresswire.com/ -- As global financial systems grow increasingly complex ...
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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 ...
What does gentrification in Philadelphia look like? “High-rise, modern apartment buildings.” “(A) modern look that’s so out ...
The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
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.
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