Professor Gary Tse

Professor Gary Tse

Hong Kong Metropolitan University, Hong Kong (China)

Member of:

Qualifications: BA (Cantab), MBBS (Imp), MA (Cantab), MA (Dubl), MPH (Manc), MHM (UNSW), MSc (Oxon), MD (Cantab), DM (Oxon), PhD (Cantab), MFPH (UK), MFPM (UK), FESC, FACC, FSCAI, FHRS, FRCP (Glasg, Edin, Lond, Ire), FRCPCH, FFPH, FRCPath, SFHEA Prof. Tse is an academician who is dually qualified in public health and pharmaceutical medicine. He is Professor at the Tianjin Institute of Cardiology and the Hong Kong Metropolitan University. He was Reader in Public Health at University of Kent, Public Health Consultant at Medway Council, and Senior Epidemiologist at the Observational and Pragmatic Research Institute, Singapore. He is Visiting Professor at the University of Surrey and Honorary Associate Professor at UCL. In recognition of his contributions to cardiovascular big data, he was an elected a member of the European Academy of Sciences and Arts (Class II: Medicine).

Presentations

Metformin is associated with lower risks of incident cancers compared to sulphonylurea use: a population-based study with competing risk analyses

Event: ESC Congress 2024

Topic: Cardio-Oncology

Session: Caring for the patient with cancer and heart disease: the clinical perspective

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ChineseCVD: a web-based Chinese-specifi c cardiovascular risk calculator incorporating long COVID, COVID-19vaccination, SGLT2i and PCSK9i treatment effects

Event: ESC Congress 2024

Topic: Epidemiology, Prognosis, Outcome

Session: Epidemiology and risk factors in cardiovascular disease

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Diabetic ketoacidosis in patients with type 2 diabetes mellitus receiving sodium-glucose co-transporter-2 inhibitors: The Hong Kong Diabetes Study

Event: ESC Preventive Cardiology 2024

Topic: Antidiabetic Pharmacotherapy

Session: Effectively managing cardiovascular risk in Type 2 diabetes

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PowerAI-CVD: Chinese-specific artificial intelligence-powered predictive model for cardiovascular disease

Event: ESC Preventive Cardiology 2024

Topic: Scores

Session: Enlisting AI for risk stratification

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Association between brachial-ankle pulse wave velocity and new-onset atrial fibrillation: A report from Kailuan Study

Event: ESC Congress 2023

Topic: Prevention

Session: Predictors for atrial fibrillation

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Association between psychological distress and cardiovascular health amongst cancer survivors in the United States: findings from nationally representative data

Event: ESC Congress 2023

Topic: Public Health

Session: Innovations in public health and health economics (4)

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Lower risks of sodium glucose cotransporter 2 (SGLT2) inhibitors compared to dipeptidyl peptidase-4 (DPP4) inhibitors for new-onset hip fracture risks in patients with type-2 diabetes: A propensity sc

Event: ESC Congress 2023

Topic: Antidiabetic Pharmacotherapy

Session: Antidiabetic medications and cardiovascular disease

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Association between immune checkpoint inhibitors and heart failure hospitalizations: a population-based self-controlled case series

Event: ESC Congress 2023

Topic: Cardiotoxicity of Drugs and Other Therapies

Session: Cardiotoxicity of cancer therapies

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Interpretable machine learning model using Extreme Gradient Boosting with Nonnegative Matrix Factorization improves the accuracy of arrhythmic risk prediction in Brugada Syndrome

Event: ESC Congress 2023

Topic: Ion Channel Disorders

Session: Ion channel diseases: risk stratification and treatment

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Cardiac abnormalities after induction of endoplasmic reticulum stress are associated with mitochondrial dysfunction and connexin43 expression

Event: ESC Congress 2019

Topic: Cardiotoxicity of Drugs and Other Therapies

Session: Basic science heart failure

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Professor Gary Tse

Biography

Contributor content

Metformin is associated with lower risks of incident cancers compared to sulphonylurea use: a population-based study with competing risk analyses

ChineseCVD: a web-based Chinese-specifi c cardiovascular risk calculator incorporating long COVID, COVID-19vaccination, SGLT2i and PCSK9i treatment effects

Diabetic ketoacidosis in patients with type 2 diabetes mellitus receiving sodium-glucose co-transporter-2 inhibitors: The Hong Kong Diabetes Study

PowerAI-CVD: Chinese-specific artificial intelligence-powered predictive model for cardiovascular disease

Association between brachial-ankle pulse wave velocity and new-onset atrial fibrillation: A report from Kailuan Study

Association between psychological distress and cardiovascular health amongst cancer survivors in the United States: findings from nationally representative data

Lower risks of sodium glucose cotransporter 2 (SGLT2) inhibitors compared to dipeptidyl peptidase-4 (DPP4) inhibitors for new-onset hip fracture risks in patients with type-2 diabetes: A propensity sc

Association between immune checkpoint inhibitors and heart failure hospitalizations: a population-based self-controlled case series

Interpretable machine learning model using Extreme Gradient Boosting with Nonnegative Matrix Factorization improves the accuracy of arrhythmic risk prediction in Brugada Syndrome

Cardiac abnormalities after induction of endoplasmic reticulum stress are associated with mitochondrial dysfunction and connexin43 expression

ESC 365 is supported by

Professor Gary Tse Follow

Biography

Contributor content

Metformin is associated with lower risks of incident cancers compared to sulphonylurea use: a population-based study with competing risk analyses

ChineseCVD: a web-based Chinese-specifi c cardiovascular risk calculator incorporating long COVID, COVID-19vaccination, SGLT2i and PCSK9i treatment effects

Diabetic ketoacidosis in patients with type 2 diabetes mellitus receiving sodium-glucose co-transporter-2 inhibitors: The Hong Kong Diabetes Study

PowerAI-CVD: Chinese-specific artificial intelligence-powered predictive model for cardiovascular disease

Association between brachial-ankle pulse wave velocity and new-onset atrial fibrillation: A report from Kailuan Study

Association between psychological distress and cardiovascular health amongst cancer survivors in the United States: findings from nationally representative data

Lower risks of sodium glucose cotransporter 2 (SGLT2) inhibitors compared to dipeptidyl peptidase-4 (DPP4) inhibitors for new-onset hip fracture risks in patients with type-2 diabetes: A propensity sc

Association between immune checkpoint inhibitors and heart failure hospitalizations: a population-based self-controlled case series

Interpretable machine learning model using Extreme Gradient Boosting with Nonnegative Matrix Factorization improves the accuracy of arrhythmic risk prediction in Brugada Syndrome

Cardiac abnormalities after induction of endoplasmic reticulum stress are associated with mitochondrial dysfunction and connexin43 expression

ESC 365 is supported by

Professor Gary Tse