Tran Quoc Bao Tran - Institute of Cardiovascular and Medical Sciences, University of Glasgow

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论文共 13 篇作者统计合作学者相似作者

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Triangulating Evidence for Antihypertensive Drug Class Efficacy on Cardiovascular and Metabolic Outcomes Using Mendelian Randomisation and Colocalisation

Nhu Ngoc Le,Tran Quoc Bao Tran,John D. McClure,Dipender Gill,Sandosh Padmanabhan

medrxiv（2024）

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Assessing Machine Learning for Diagnostic Classification of Hypertension Types Identified by Ambulatory Blood Pressure Monitoring

Tran Quoc Bao Tran,Stefanie Lip,Clea du Toit, Tejas Kumar Kalaria, Ravi K. Bhaskar,Alison Q. O'Neil,Beata Graff, Micha l Hoffmann,Anna Szyndler,Katarzyna Polonis,Jacek Wolf,Sandeep Reddy,Krzysztof Narkiewicz,Indranil Dasgupta,Anna F. Dominiczak,Shyam Visweswaran,Linsay McCallum,Sandosh Padmanabhan

CJC OPENno. 6 (2024): 798-804

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Cost Comparison of Unplanned Hospital Admissions from Care Home and Community Settings: A Retrospective Cohort Study Using Routinely Collected Linked Data

Claudia Geue,Giorgio Ciminata, Govardhan Reddy Mukka,Daniel F Mackay,Jim Lewsey,Jocelyn M Friday,Ruth Dundas,Tran Quoc Bao Tran,Denise Brown,Frederick Ho,Claire Hastie,Michael Fleming, Alan Stevenson, Clea DuToit,Sandosh Padmanabhan,Jill P Pell

medrxiv（2024）

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Establishing plausibility of cardiovascular adverse effects of immunotherapies using Mendelian randomisation

Nhu Ngoc Le,Tran Quoc Bao Tran,Clea du Toit,Dipender Gill,Sandosh Padmanabhan

Frontiers in cardiovascular medicine (2023): 1116799

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Deciphering the Effect of High-Density Lipoprotein Cholesterol on Renal Function: a Mendelian Randomization Study

Nhu Ngoc Le,Tran Quoc Bao Tran,Dipender Gill,Sandosh Padmanabhan

medrxiv（2023）

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Survey and Evaluation of Hypertension Machine Learning Research

Journal of the American Heart Association Cardiovascular and cerebrovascular diseaseno. 9 (2023)

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Incremental Value of a Panel of Serum Metabolites for Predicting Risk of Atherosclerotic Cardiovascular Disease

Ana Nogal,Panayiotis Louca,Tran Quoc Bao Tran,Ruth C. E. Bowyer,Paraskevi Christofidou,Claire J. Steves,Sarah Berry,Kari E. Wong,Jonathan Wolf,Paul W. Franks,Massimo Mangino,Tim D. Spector,Ana M. Valdes,Sandosh Padmanabhan,Cristina Menni

Journal of the American Heart Association Cardiovascular and cerebrovascular diseaseno. 4 (2022)

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Machine Learning Integration of Multimodal Data Identifies Key Features of Blood Pressure Regulation

Panayiotis Louca,Tran Quoc Bao Tran,Clea du Toit,Paraskevi Christofidou,Tim D. Spector,Massimo Mangino,Karsten Suhre,Sandosh Padmanabhan,Cristina Menni

EBioMedicine（2022）

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Incremental Value of a Panel of Serum Metabolites for Predicting Risk of Atherosclerotic Cardiovascular Disease

Ana Nogal,Panayiotis Louca,Tran Quoc Bao Tran,Ruth C. Bowyer,Paraskevi Christofidou,Claire J. Steves,Sarah E. Berry,Kari Wong,Jonathan Wolf,Paul W. Franks,Massimo Mangino,Tim D. Spector,Ana M. Valdes,Sandosh Padmanabhan,Cristina Menni

JOURNAL OF THE AMERICAN HEART ASSOCIATION（2022）

引用2浏览0WOS引用

Predictive Accuracy and Clinical Utility of Machine Learning Prediction for Classifying Blood Pressure Status

Tran Quoc Bao Tran,Stefanie Lip,Clea du Toit, Tejas Kumar Kalaria, Ravi K. Bhaskar,Alison Q. O’Neil,Beata Graff,Michał Hoffmann,Anna Szyndler,Katarzyna Polonis,Jacek Wolf,Sandeep Reddy,Krzysztof Narkiewicz,Indranil Dasgupta,Anna F. Dominiczak,Shyam Visweswaran,Linsay McCallum, Sandosh Padmanabhan

Social Science Research Network (2022)

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