Integrated Datasets of Proteomic and Metabolomic Biomarkers to Predict Its Impacts on Comorbidities of Type 2 Diabetes Mellitus.

Amrita K CheemaPrabhjit KaurAmina FadelNoura YounesMahmoud ZirieNasser Moustafa Rizk

Published in: Diabetes, metabolic syndrome and obesity : targets and therapy (2020)

The integration of data obtained by advanced metabolomic and proteomic technologies has made it probable to advantage in understanding the role of these biomarkers in the identification of significant biological processes, pathways, and regulators that are associated with T2DM and its comorbidities.

Keyphrases

label free
electronic health record
transcription factor
big data
metabolic syndrome
machine learning
data analysis
deep learning
weight loss
artificial intelligence