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In a nested case-control analysis performed with use of the French national health care insurance system (SNDS) database, Julien Bezin et al (2023), compared individuals with T2D, but not on GLP1-RA with those on GLP1-RA (10)

A convolutional neural network (CNN)-based deep learning model trained on untargeted plasma metabolomics could accurately identify predictive metabolite signatures linked to glycemic control and complications in type 2 diabetes patients

Decreased intracellular levels of flavocoenzymes could cause mitochondrial dysfunction, increase oxidative stress, and interfere with nitric oxide release and thus blood vessel dilation all of these changes have been associated with preeclampsia (26)

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