Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry ...
Scientists at the University of Sharjah have developed a new machine learning model capable of predicting whether a driver is ...
1d
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 ...
Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...
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 major artificial-intelligence conference has rejected 497 papers — roughly 2% of submissions — whose authors violated ...
A multimodal artificial intelligence (AI) model can identify patients at risk of intimate partner violence (IPV) years before they seek help.
Mood disorders represent a major global burden and are characterized by substantial heterogeneity in symptom profiles, treatment response, and clinical ...
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