Radcliffe Department of Medicine

Desborough Group: Platelet disorders and transfusion

Curry Group: Endothelial regulation of haemostasis in health and disease

We study the mechanisms by which vascular endothelial cells regulate haemostasis in health and in acquired bleeding disorders, namely trauma-induced coagulopathy, to better understand disease pathogenesis and identify novel therapeutic targets.

Nasteska Group: Islet Protein Turnover

Zimmermann Group: Iron Nutrition - Stable Isotopes and Therapeutics

The overall aim of our research program is to improve iron nutrition and reduce anaemia in women and children, directly supporting the U.N.'s 2030 Sustainable Development Goal of ‘Zero Hunger’.

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 Imaging

We work with clinicians and MR scientists on a day-to-day basis to develop novel AI machine-learning approaches for cardiovascular imaging.

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.

Holloway Group: Microfluidic Neurological Models (MNM)

The Oxford MNM group focuses on developing in vitro models for neurological disease. Employing micro-fabrication techniques to define channels and features in cell culture devices at the scale of the cell and below, opens up the opportunity to shape cellular microenvironments to better reflect those found in the body. Our work uses these techniques and induced pluripotent stem cell (iPSC) technologies to create human cell culture models of the brain with the aim of enabling new possibilities to study neurovascular disease and improve drug discovery.

Cancer target identification and development

Our research interests lie in studying the molecular mechanisms of tumour growth and the target development. We focus on the impact of metabolism and epigenetic regulation on crosstalk between stromal cells and tumour cells in the tumour microenvironment. The ongoing investigated tumours include colorectal cancer, breast cancer and cholangiocarcinoma.

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.

Koohy Group: Machine Learning and Integrative Approaches in Immunology

We would like to understand the functional and molecular mechanisms of the immune system in various immunologically important conditions such as cancer, infection, autoimmune disease as well as ageing. We have a special interest in computational cancer immunotherapy such as antigen presentation, neo-antigen identification and T cell recognition of neo-antigens as well as interrogating the immune response to personalized vaccines from neo-antigens.

Toepfer Group: Cardiac Physiology and Disease Modeling

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

Sahakyan Group: Integrative Computational Biology and Machine Learning

Combining computational biology, computational chemistry, and machine learning techniques with biological big data to unravel the higher genomic code of life.

Wilkinson Group: Blood Stem Cell Expansion and Fitness

Haematopoietic stem cells (HSCs) support blood cell production throughout life and are also used clinically in cell and gene therapies. We are studying the biology of this important stem cell population with the aim of developing new HSC-based therapies.

Simmons Group: Intestinal Immunity in Health and Disease

We define how the immune system functions in the intestine to promote health. We uncover the immune pathogenesis of intestinal diseases such as inflammatory bowel disease to develop better ways to treat these disorders.

Chakraverty Group: Haematopoietic Transplantation and Immunotherapy

Our group is interested in developing novel immunotherapeutic approaches for leukaemia. Clinical approaches currently used include allogeneic haematopoietic stem cell transplantation, chimeric antigen receptor T cell therapy and immune checkpoint inhibitors. While each of these approaches can be successful, they also fail in many patients as a result of tumour adaptations or diminished function of immune cells. Enhanced immunity can also lead to immune-related adverse events due to on- or off-target effects. We are exploring the mechanisms that underpin these failures and using this information to devise new strategies that can be translated into early phase clinical trials.

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