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Machine learning key to early detection of acute malnutrition in Sub-Saharan Africa
Among the diverse indicators tested, previous malnutrition outcomes ranked highest in predictive power, followed by ...
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Machine learning reveals behaviors linked with early Alzheimer's, points to new treatments
"We've shown the potential of machine learning to revolutionize how we analyze behaviors indicative of early abnormalities in brain function," says Gladstone investigator Jorge Palop, Ph.D ...
National Academies of Sciences%2c Engineering%2c and Medicine1y
Artificial Intelligence and Machine Learning in Evidence Synthesis and Evidence Generation in Food and Nutrition: A Meeting of Experts
Top experts participate in our projects, activities, and studies to examine and assemble evidence-based findings to address ... relative to the use of artificial intelligence (AI) and machine learning ...
Harvard Business School5y
Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation
Choudhury, Prithwiraj, Evan Starr, and Rajshree Agarwal. "Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation." Strategic Management Journal 41, no. 8 ...
The American Journal of Managed Care13d
Machine Learning Model Identifies Hydroxyurea Resistance Markers in PV
Machine learning identifies key biomarkers predicting hydroxyurea resistance in polycythemia vera, enhancing early treatment ...
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Infrared spectroscopy with machine learning detects early wood coating deterioration
The team is endeavoring to bring data-driven tools into traditional wood maintenance by combining mid-infrared spectroscopy with machine learning ... to diagnose early coating deterioration ...