Christopher Farmer

Clinical Professor

University of Kent

United Kingdom

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Christopher Farmer is a Clinical Professor at the University of Kent, UK. His research areas include clinical outcomes in exercise physiology, chronic kidney disease progression, and the impacts of COVID-19 on health. Recent articles include studies on isometric exercise training adaptations, drug-induced acute kidney injury, and the use of machine learning in biological research. He is also engaged in community-focused research involving technology and dementia care.

Articles (10)

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2025

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2021

Year:

2020

Collaborators (9)

Anotida Madzvamuse

University of Sussex

UNITED KINGDOM

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Neil Smart

Professor of Exercise Physiology

University of New England

AUSTRALIA

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Alex Freitas

Professor of Computational Intelligence

University of Kent

UNITED KINGDOM

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Sapna shah

Honorary Senior Lecturer

King’s College London

UNITED KINGDOM

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Charles Pedlar

Professor, Applied Sport and Exercise Science

St Mary's University

UNITED KINGDOM

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Douglas MacInnes

Professor of Mental Health

Canterbury Christ Church University

UNITED KINGDOM

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Susan CARR

University Hospitals of Leicester NHS Trust

UNITED KINGDOM

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clare castledine

University of Sussex

UNITED KINGDOM

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Jonathan Wiles

Principal Lecturer

Canterbury Christ Church University

UNITED KINGDOM

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Christopher Farmer

Research Interests

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Articles (10)

Sex-based comparison of the blood pressure, haemodynamic and cardiac autonomic adaptations following isometric exercise training in sedentary adults: a randomised controlled trial

Understanding how to build a social licence for using novel linked datasets for planning and research in Kent, Surrey and Sussex: results of deliberative focus groups

Delivering clinical studies of exercise in the COVID-19 pandemic: challenges and adaptations using a feasibility trial of isometric exercise to treat hypertension as an exemplar

Pregnancy-associated progression of chronic kidney disease: a study protocol for the development and validation of a clinical predictive tool (PREDICT)

Clinical Characteristics and Outcomes of Drug-Induced Acute Kidney Injury Cases

Predicting lifespan-extending chemical compounds for C. elegans with machine learning and biologically interpretable features

Tea, Technology and Me: a World Café approach to engage people with dementia and their carers about research priorities and policy development in digital technology and artificial intelligence

Tea, Technology and Me: a World Café approach to engage people with dementia and their carers about research priorities and policy development in digital technology and artificial intelligence

Feasibility study to assess the delivery of a novel isometric exercise intervention for people with stage 1 hypertension in the NHS: protocol for the IsoFIT-BP study including amendments to mitigate the risk of COVID-19.

Coronavirus Disease 2019 in Kidney Transplant Patients From a Large UK Transplant Center: Exploring Risk Factors for Disease Severity.

Collaborators (9)

Anotida Madzvamuse

Neil Smart

Alex Freitas

Sapna shah

Charles Pedlar

Douglas MacInnes

Susan CARR

clare castledine

Jonathan Wiles

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