首页|Findings from University of Michigan Broaden Understanding of Cholesterol (Cross-sectional Association Between Blood Cholesterol and Calcium Levels In Genetically Diverse Strains of Mice)
Findings from University of Michigan Broaden Understanding of Cholesterol (Cross-sectional Association Between Blood Cholesterol and Calcium Levels In Genetically Diverse Strains of Mice)
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2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Cholesterol. According to news originating from Ann Arbor, Michigan, by NewsRx correspondents, research stated, “Genetically diverse outbred mice allow for the study of genetic variation in the context of high dietary and environmental control. Using a machine learning approach, we investigated clinical and morphometric factors that associate with serum cholesterol levels in 840 genetically unique Diversity Outbred mice of both sexes (n = 417 male and 423 female), and on both a control chow (% kcals in diet: protein 22%, carbohydrate 62%, fat 16%, no cholesterol) and high fat high sucrose (% kcals in diet: protein 15%, carbohydrate 41%, fat 45%, 0.05% cholesterol).” Financial supporters for this research include NIH National Institute of General Medical Sciences (NIGMS), National Institutes of Diabetes and Digestive Kidney Diseases (NIDDK), NIH National Institute of General Medical Sciences (NIGMS).
Ann ArborMichiganUnited StatesNorth and Central Amer- icaCholesterolCyborgsEmerging TechnologiesHealth and MedicineMachine LearningUniversity of Michigan
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