A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
7d
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 predicts low-density lipoprotein cholesterol from routine lab data, offering a low-cost way to ...
1don 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 ...
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 ...
Predictive risk scores created using administrative claims and publicly available social determinants of health data strongly ...
Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
Liquid chromatography-mass spectrometry (LC-MS) was used to perform comprehensive, nontargeted metabolomic profiling on serum ...
We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, illustrating the potential and limitations of readily accessible and low-cost ...
COVID-19 deaths were most likely to go unrecognized in southern states. The estimated number of COVID-19 deaths was 31% ...
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