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Ewan Pearson

Showing results (1-10 of 48) with videos related to

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Nature Genetics|March 29, 2014
Zinc transport and diabetes riskEwan Pearson
Nature Reviews. Endocrinology|June 20, 2018
The search for predictive metabolic biomarkers for incident T2DMEwan Pearson, Jerzy Adamski
Diabetes Care|April 25, 2013
Gene-environment and gene-treatment interactions in type 2 diabetes: progress, pitfalls, and prospectsPaul W Franks, Ewan Pearson, Jose C Florez
JMIR Diabetes|March 27, 2025
Applications of AI in Predicting Drug Responses for Type 2 DiabetesShilpa Garg, Robert Kitchen, Ramneek Gupta, et al.
The Journal of Clinical Endocrinology and Metabolism|January 24, 2024
Low-Dose Sulfonylurea Plus DPP4 Inhibitor Lower Blood Glucose and Enhance Beta-Cell Function Without HypoglycemiaRuth L M Cordiner, Khaled Bedair, Andrea Mari, et al.
JMIR Diabetes|February 6, 2026
Predictors of Glycemic Response to Sulfonylurea Therapy in Type 2 Diabetes Over 12 Months: Comparative Analysis of Linear Regression and Machine Learning ModelsShilpa Garg, Robert Kitchen, Ramneek Gupta, et al.
Nature Reviews. Nephrology|December 14, 2017
Clarifying the relationship between metformin, acute kidney injury and lactic acidosisSamira Bell, Enrique Soto-Pedre, Paul Connelly, et al.
Biotechnology Advances|April 1, 2021
Using machine learning approaches for multi-omics data analysis: A reviewParminder S Reel, Smarti Reel, Ewan Pearson, et al.
Drugs & Aging|July 24, 2023
Repurposing Drugs for Diabetes Mellitus as Potential Pharmacological Treatments for Sarcopenia - A Narrative ReviewMiles D Witham, Antoneta Granic, Ewan Pearson, et al.
The British Journal of Radiology|March 23, 2018
Quantitative MRI evaluation of whole abdomen adipose tissue volumes in healthy volunteers-validation of technique and implications for clinical studiesMatthew Marzetti, Tracy Brunton, Laura McCreight, et al.
Pageof 5

Showing results (1-10 of 48) with videos related to

Sort By:
Pageof 5
Nature Genetics|March 29, 2014
Zinc transport and diabetes riskEwan Pearson
Nature Reviews. Endocrinology|June 20, 2018
The search for predictive metabolic biomarkers for incident T2DMEwan Pearson, Jerzy Adamski
Diabetes Care|April 25, 2013
Gene-environment and gene-treatment interactions in type 2 diabetes: progress, pitfalls, and prospectsPaul W Franks, Ewan Pearson, Jose C Florez
JMIR Diabetes|March 27, 2025
Applications of AI in Predicting Drug Responses for Type 2 DiabetesShilpa Garg, Robert Kitchen, Ramneek Gupta, et al.
The Journal of Clinical Endocrinology and Metabolism|January 24, 2024
Low-Dose Sulfonylurea Plus DPP4 Inhibitor Lower Blood Glucose and Enhance Beta-Cell Function Without HypoglycemiaRuth L M Cordiner, Khaled Bedair, Andrea Mari, et al.
JMIR Diabetes|February 6, 2026
Predictors of Glycemic Response to Sulfonylurea Therapy in Type 2 Diabetes Over 12 Months: Comparative Analysis of Linear Regression and Machine Learning ModelsShilpa Garg, Robert Kitchen, Ramneek Gupta, et al.
Nature Reviews. Nephrology|December 14, 2017
Clarifying the relationship between metformin, acute kidney injury and lactic acidosisSamira Bell, Enrique Soto-Pedre, Paul Connelly, et al.
Biotechnology Advances|April 1, 2021
Using machine learning approaches for multi-omics data analysis: A reviewParminder S Reel, Smarti Reel, Ewan Pearson, et al.
Drugs & Aging|July 24, 2023
Repurposing Drugs for Diabetes Mellitus as Potential Pharmacological Treatments for Sarcopenia - A Narrative ReviewMiles D Witham, Antoneta Granic, Ewan Pearson, et al.
The British Journal of Radiology|March 23, 2018
Quantitative MRI evaluation of whole abdomen adipose tissue volumes in healthy volunteers-validation of technique and implications for clinical studiesMatthew Marzetti, Tracy Brunton, Laura McCreight, et al.
Pageof 5