Radcliffe Department of Medicine

From molecules to medicines for failing hearts.

Grist Group: Clinical Neuroimaging

The Oxford Stone Group

Throughout history, stones have formed in the urinary tract (kidney and bladder). We are learning more about kidney stone disease and how best to prevent, diagnose and treat this condition.

Nasteska Group: Islet Protein Turnover

Lapidaire Group: Brain Health Vascular Imaging

Our group aims to make early diagnosis and continuous check-ups for (vascular) diseases accurate, affordable, and accessible for everyone. We focus on women’s vascular health and global health and aim to better understand the impact of hypertensive disorders of pregnancy on the brain.

Valkovič Group: Body MRS Group

Pushing the Limits of Multi-nuclear Magnetic Resonance Spectroscopy of the Heart, Liver and Muscle

Zhang Group: Artificial Intelligence in Cardiovascular Medicine

We work with clinician, MR scientists and health statisticians on a day-to-day basis to develop novel AI machine-learning approaches for cardiovascular medicine.

Akbar Group: Extracellular Vesicles in Cardiovascular, Inflammatory and Metabolic Disease

The Akbar Lab is interested in defining the therapeutic and diagnostic potential of extracellular vesicles for immunomodulation and precision medicine in cardiovascular, metabolic, and inflammatory diseases.

Goel Group: Cardiovascular genetics and bioinformatics

We have performed a number of genome-wide association analyses and meta-analyses on different case/control phenotypes and quantitative traits. After discovering genetic loci, our main interest is to refine the locus for causal variants using different computational approaches and integrating epigenetic data. We also have experience in rare variant data analysis from whole genome sequencing data.

Tyler Group

Development and Application of Cardiac Magnetic Resonance Imaging and Spectroscopy

Pavlides Group: Quantitative MR and liver disease

Our group investigates how MR techniques can be used to improve the care of patients with liver disease. The scope of our work is broad and ranges from evaluation of mature MR techniques in large multicentre studies, to proof-of-concept studies using new methods, or new clinical applications of existing technologies.

Hodson Group: Cellular Metabolism and GPCR Signalling

We investigate how cellular metabolism and GPCR signaling converge to influence energy homeostasis in the periphery and brain during health and metabolic disease. We develop novel tools and technologies that allow us to study cell and tissue function with exquisite accuracy and detail, and apply these approaches to both preclinical models and human tissue.

Toepfer Group: Cardiac Physiology and Disease Modeling

Understanding key mechanisms that govern cardiac muscle function in health and disease

Ray Group

We work on circadian rhythms, and nuclear receptors applied to both inflammation and energy metabolism. Our models range from cells to human populations.

Piechnik Group: Myocardial functional T1 mapping – Advanced cardiac magnetic resonance imaging techniques

We aim to further improve the clinical value of Cardiovascular Magnetic Resonance with application of advanced image analysis techniques.

Neubauer Group: Oxford Centre for Clinical Magnetic Resonance Research

OCMR uses sophisticated cardiac MR imaging and spectroscopy methods to phenotype cardiovascular disease – in small-scale proof-of-principle studies, large-scale multicentre clinical trials and ultra-large scale population imaging programmes. As well as running their own research programmes, OCMR serves as a collaboration partner to any group wanting to strengthen their clinical research with state of the art non-invasive phenotyping tools.

Redwood Group: Cardiac Contractility

Defining important functional paradigms that lead to inherited cardiomyopathies, in search of novel treatments.

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Hodson Group: Human in vivo and in vitro lipid metabolism

Christodoulides Group: Adipose Biology and Metabolic Disease

Karpe Group

Lewis Group: Spatial Cardiology