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Intermittent Control for Safe Long-Acting Insulin Intensification for Type 2 Diabetes: In-Silico Experiments *.

, , , , and . CCTA, page 534-539. IEEE, (2023)

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Modelling the glucose-insulin system of type 2 diabetes patients using ARMAX models., , , , and . ANZCC, page 88-93. IEEE, (2019)A deep learning approach to adherence detection for type 2 diabetics., , , , , and . EMBC, page 2896-2899. IEEE, (2017)Model predictive control with sub-frequency actuation for long acting insulin treatment in type 2 diabetes., , , , and . CCTA, page 914-919. IEEE, (2019)Improved accuracy assessment for 3D genome reconstructions., and . BMC Bioinform., 19 (1): 196:1-196:9 (2018)Estimation and assessment of raw copy numbers at the single locus level., , , and . Bioinform., 24 (6): 759-767 (2008)Parent-specific copy number in paired tumor-normal studies using circular binary segmentation., , , , , and . Bioinform., 27 (15): 2038-2046 (2011)Intermittent Control for Safe Long-Acting Insulin Intensification for Type 2 Diabetes: In-Silico Experiment., , , , and . CoRR, (2023)Estimating a Personalized Basal Insulin Dose from Short-Term Closed-Loop Data in Type 2 Diabetes., , , , and . CDC, page 2580-2585. IEEE, (2022)Early Glycemic Control Assessment Based on Consensus CGM Metrics*., , , , , and . EMBC, page 1269-1275. IEEE, (2021)ACNE: a summarization method to estimate allele-specific copy numbers for Affymetrix SNP arrays., , and . Bioinform., 26 (15): 1827-1833 (2010)