Christos P. Kotanidis

MD MSc DPhil MRCP

NIHR Academic Clinical Lecturer

Dr Chris Kotanidis is a NIHR funded Academic Clinical Lecturer at the University of Oxford and the Radcliffe Department of Medicine. His research focuses on the application of advanced imaging and radiotranscriptomic approaches to vascular inflammation. His work bridges translational science and clinical medicine, aiming to develop novel, non-invasive tools to better characterize vascular disease and guide personalized therapy.

After completing his DPhil at Oxford in 2022, Chris pursued further academic clinical training at Newcastle University as an NIHR funded Academic Clinical Fellow, where he formed international collaborations with Oxford, Harvard, and the NIH. He is currently working on pioneering machine learning techniques to integrate imaging and molecular data, with a focus on understanding how therapeutic interventions, such as targeted biologics, alter vascular inflammation, using data from randomized controlled trials.

Chris also served as an Editorial Fellow at the New England Journal of Medicine and has a strong interest in clinical trial design, translational imaging, and cardio-immunology.

Invasive vs. conservative management of older patients with non-ST-elevation acute coronary syndrome: individual patient data meta-analysis.

Kotanidis CP. et al, (2024), Eur Heart J, 45, 2052 - 2062

Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19.

Kotanidis CP. et al, (2022), Lancet Digit Health, 4, e705 - e716

A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.

Oikonomou EK. et al, (2019), Eur Heart J, 40, 3529 - 3543

Diagnostic Accuracy of Cardiovascular Magnetic Resonance in Acute Myocarditis: A Systematic Review and Meta-Analysis.

Kotanidis CP. et al, (2018), JACC Cardiovasc Imaging, 11, 1583 - 1590

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Christos P. Kotanidis

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Plasma metabolomics and incident major adverse cardiovascular events in patients with rheumatoid arthritis

Use of an AI Metabolomics Score to Predict Cardiovascular Risk Among Patients with Psoriasis in the MGB and UK Biobanks

Blood-Pressure Targets in Hypertension Management

Transcatheter or Surgical Aortic-Valve Replacement in Asymptomatic Severe Aortic Stenosis.

Revision of Research Abstracts Through the Editorial Process.

Managing Obesity.

Coronary inflammation and cardiovascular risk in breast cancer after radiotherapy.

Beta-Blocker Therapy after Acute Myocardial Infarction - To Block or Not to Block?

Invasive vs. conservative management of older patients with non-ST-elevation acute coronary syndrome: individual patient data meta-analysis.

Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19.

A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.

Diagnostic Accuracy of Cardiovascular Magnetic Resonance in Acute Myocarditis: A Systematic Review and Meta-Analysis.

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Christos P. Kotanidis

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