Using six gut- and diet-derived metabolites, a machine learning model had 79% accuracy in classifying adults as having ...
Methane is one of the most powerful greenhouse gases, yet quantifying its emissions remains difficult at large scales.
This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
Published in the journal Fire, the study titled “Artificial Intelligence for Geospatial Decision Support in Rural Wildfire Management: A Configurational Mapping Review” provides a systematic analysis ...
The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, ...
NEW YORK, NY, UNITED STATES, March 28, 2026 /EINPresswire.com/ -- As global financial systems grow increasingly complex ...
Principal Developer Janmejaya Mishra explores how AI and machine learning are advancing predictive intelligence systems ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
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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 ...
Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...
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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