A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
9d
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 ...
Machine learning model predicts poor pain-related quality of life after endometriosis surgery to assist clinicians with preoperative counseling.
Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...
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.
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 ...
A machine learning model predicts low-density lipoprotein cholesterol from routine lab data, offering a low-cost way to ...
Certis Oncology Intelligence represents a new approach to translational research-one that connects computational prediction ...
A new study published in the journal Carbon Research introduces an advanced machine learning model capable of predicting how ...
4don 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 ...
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