A machine learning model predicts low-density lipoprotein cholesterol from routine lab data, offering a low-cost way to ...
AI is not overhyped. The potential requires equal attention to the less glamorous but more important role of data management.
Cerf’s February 2026 Communications Cerf’s Up column, “Does AI Now Represent a Paradigm Shift?” rightly characterizes modern ...
Dr. Anthony M. Lee is the President of Westcliff University in Irvine, California, one of the fastest growing universities in the US, going from less than a few hundred students to over 3,000 students ...
Move beyond the hype with deterministic AI architectures designed for transparency, accountability and ROI.
A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
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.
8hon MSN
Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures
Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...
5d
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 ...
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 ...
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