Predicting responsiveness to GLP-1 pathway drugs using real-world data is a research paper published in BMC Endocrine Disorders (2024). On theSindex it has a DataRank of 0. It has been cited 15 times.
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National Institutes of Health
Grant: HL140074
National Institutes of Health
Grant: DK109102
National Institutes of Health
Grant: DK120626
American Heart Association
Grant: 17SFRN33520017
U.S. Department of Veterans Affairs
Grant: I01-BX005459
U.S. Department of Veterans Affairs
Grant: I01-BX003744
NIDDK NIH HHS
Grant: P30 DK058404
NHLBI NIH HHS
Grant: R01 HL144846
BLRD VA
Grant: I01 BX005459
NIDDK NIH HHS
Grant: R01 DK109102
National Institutes of Health
Grant: 1ZIADK013039-04
Molecular modeling of soluble proteins
National Institutes of Health
Grant: 5R01HL109102-12
MicroRNA directed pathway discovery in allergy and asthma
National Institutes of Health
Grant: 5R01DK109102-03
Estrogen and coordinated carbohydrate and lipid metabolism in obesity
National Institutes of Health
Grant: 1R01HL140074-01
Genomic and Phenomic Architecture of Heart Failure
National Institutes of Health
Grant: 5R01HL144846-03
CETP and Sex-Differences in Metabolic and Cardiovascular Disease
National Institutes of Health
Grant: 5R01DK120626-02
Manipulating islet GPCR activity to promote beta cell proliferation and survival
Fields of Study
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Keywords
Additional file 7 of Predicting responsiveness to GLP-1 pathway drugs using real-world data
Additional file 7 of Predicting responsiveness to GLP-1 pathway drugs using real-world data
Additional file 9 of Predicting responsiveness to GLP-1 pathway drugs using real-world data
Additional file 9 of Predicting responsiveness to GLP-1 pathway drugs using real-world data
Additional file 10 of Predicting responsiveness to GLP-1 pathway drugs using real-world data
Additional file 10 of Predicting responsiveness to GLP-1 pathway drugs using real-world data
Additional file 8 of Predicting responsiveness to GLP-1 pathway drugs using real-world data
Additional file 11 of Predicting responsiveness to GLP-1 pathway drugs using real-world data
Additional file 11 of Predicting responsiveness to GLP-1 pathway drugs using real-world data
Additional file 5 of Predicting responsiveness to GLP-1 pathway drugs using real-world data
Additional file 6 of Predicting responsiveness to GLP-1 pathway drugs using real-world data
Additional file 5 of Predicting responsiveness to GLP-1 pathway drugs using real-world data
Additional file 2 of Predicting responsiveness to GLP-1 pathway drugs using real-world data
Additional file 8 of Predicting responsiveness to GLP-1 pathway drugs using real-world data
Additional file 4 of Predicting responsiveness to GLP-1 pathway drugs using real-world data
Additional file 4 of Predicting responsiveness to GLP-1 pathway drugs using real-world data
Additional file 6 of Predicting responsiveness to GLP-1 pathway drugs using real-world data
Additional file 1 of Predicting responsiveness to GLP-1 pathway drugs using real-world data
Additional file 3 of Predicting responsiveness to GLP-1 pathway drugs using real-world data
Additional file 3 of Predicting responsiveness to GLP-1 pathway drugs using real-world data