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    顯示項目26-36 / 36. (共2頁)
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    日期題名關聯
    2023-10-05 Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed whole-genome sequencing study American Journal of Human Genetics. 2023 Oct 5;110(10):1704-1717.
    2023-10 Prevalence and prognosis of genetically proven familial hypercholesterolemia in subjects with coronary artery disease and reduced ejection fraction Scientific Reports. 2023 Oct 07;13:Article number 16942.
    2023-09-25 Plasma aryl hydrocarbon receptor associated with epicardial adipose tissue in men: A cross-sectional study Diabetology and Metabolic Syndrome. 2023 Sep 25;15:Article number 188.
    2023-09-13 A higher estimated glomerular filtration rate is associated with better survival in subjects with coronary artery disease and heart failure with a mildly reduced ejection fraction International Heart Journal. 2023 Sep 13;64(5):816-822.
    2023-08-31 Empagliflozin is associated with lower cardiovascular risk compared with dipeptidyl peptidase-4 inhibitors in adults with and without cardiovascular disease: EMPagliflozin compaRative effectIveness and SafEty (EMPRISE) study results from Europe and Asia Cardiovascular Diabetology. 2023 Aug 31;22:Article number 233.
    2023-07 Accuracy of point-of-care blood glucometers in neonates and critically Ill adults Clinical Therapeutics. 2023 Jul;45(7):643-648.
    2023-06-29 Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed Whole Genome Sequencing Study medRxiv. 2023 Jun 29; Article in Press.
    2023-06-06 A multi-ancestry polygenic risk score for coronary heart disease based on an ancestrally diverse genome-wide association study and population-specific optimization medRxiv. 2023 Jun 06;Article in Press.
    2023-05 Toward better diabetes care: Exploration and implementation Journal of Diabetes Investigation. 2023 May;14(5):640-644.
    2023-04-23 Systematic review of precision subclassification of type 2 diabetes medRxiv. 2023; Article in Press.
    2023-03-10 Prediction of the risk of developing end-stage renal diseases in newly diagnosed type 2 diabetes mellitus using artificial intelligence algorithms BioData Mining. 2023 Mar 10;16:Article number 8.

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