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Key Endpoints Emerging for Diabetes Biomarkers and Prediction Models Islet autoantibodies against insulin/proinsulin, GAD65, IA-2, and ZnT8 serve as enrichment biomarkers for type 1 diabetes prevention studies Accelerated failure time models incorporating islet autoantibody permutations predict time-varying probability of T1D diagnosis Prediction accuracy improves with variables including baseline age, sex, blood glucose measurements, and hemoglobin A1c Metabolomics is emerging for precision diabetes medicine to discover biomarkers for diagnosis, prognosis, and management Machine learning models integrating genomic and proteomic data achieve 95% prediction accuracy for GLP-1 therapy response Cardiovascular Outcomes Bempedoic acid shows significant cardiovascular risk reduction in diabetes patients (HR 0.83

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Endocrinology 159 , 2031 (2018)

Despite these benefits, their use in women planning pregnancy is complicated by uncertainty regarding reproductive safety, the optimal timing of discontinuation, and the most effective alternatives to maintain metabolic health after withdrawal [7,8]

NO2 and the substitution can takes place at single or multiple positions on aryl group or Formula-3 wherein, 'Rf represents substituted or unsubstituted aryloxy and the substituents wherever necessary can be independently selected from halogens such as F, CI, Br & I, NO2 and the substitution can takes place at single or multiple positions on aryl group