首页|Data on Machine Learning Reported by Kelsey Fehr and Colleagues (Multimodal machine learning for modeling infant head circumfer- ence, mothers' milk composition, and their shared environment)
Data on Machine Learning Reported by Kelsey Fehr and Colleagues (Multimodal machine learning for modeling infant head circumfer- ence, mothers' milk composition, and their shared environment)
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2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting out of Winnipeg, Canada, by NewsRx editors, research stated, “Links between human milk (HM) and infant development are poorly understood and often focus on individual HM components. Here we apply multi-modal predictive machine learning to study HM and head circumference (a proxy for brain development) among 1022 mother-infant dyads of the CHILD Cohort.” Funders for this research include Bundesministerium fur Bildung und Forschung, National Institutes of Health, Alfred E. Mann Foundation, Canadian Institutes of Health Research, AllerGen Network of Centers of Excellence, Research Manitoba, Children’s Hospital Research Institute of Manitoba, Canadian Respiratory Research Network, Manitoba Medical Services Foundation, Canada Research Chairs Program, Don and Debbie Morrison, SickKids Foundation.
WinnipegCanadaNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learning
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