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Public Health Genomics and Precision Health Knowledge Base (v8.6)
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Last data update: May 27, 2023
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Zinc[original query]>>Original Studies[Product Type]
Novel Application of Machine Learning Algorithms and Model-Agnostic Methods to Identify Factors Influencing Childhood Blood Lead Levels.
Liu Xiaochi et al. Environmental science & technology 2021
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Estimating the clinical prevalence of Wilson's disease in the UK.
Wijayasiri Pramudi et al. JHEP reports : innovation in hepatology 2021 3(5) 100329
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Genetically predicted circulating concentrations of micronutrients and risk of colorectal cancer among individuals of European descent: a Mendelian randomization study.
Tsilidis Konstantinos K et al. The American journal of clinical nutrition 2021
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Clinical and Molecular Landscape of ALS Patients with SOD1 Mutations: Novel Pathogenic Variants and Novel Phenotypes. A Single ALS Center Study.
Bernard Emilien et al. International journal of molecular sciences 2020 Sep 21(18)
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A machine learning-based approach to directly compare the diagnostic accuracy of myocardial perfusion imaging by conventional and cadmium-zinc telluride SPECT.
Cantoni Valeria et al. Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology 2020 May
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Controversies and Variation in Diagnosing and Treating Children With Wilson Disease: Results of an International Survey.
Sturm Ekkehard et al. Journal of pediatric gastroenterology and nutrition 2016 Jul 63(1) 82-7
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Combined clinical and genetic testing algorithm for cervical cancer diagnosis.
Liou Yu-Ligh et al. Clinical epigenetics 2016 866
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Page last reviewed:
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