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Christos P. Kotanidis
MD MSc DPhil MRCP
Research Associate
Dr Chris Kotanidis is a Research Associate 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, 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 serves as an Editorial Fellow at the New England Journal of Medicine and has a strong interest in clinical trial design, translational imaging, and cardio-rheumatology.
Key publications
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Beta-Blocker Therapy after Acute Myocardial Infarction — To Block or Not to Block?
Kotanidis CP. et al, (2025), New England Journal of Medicine, 392, 1234 - 1236
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Invasive vs. conservative management of older patients with non-ST-elevation acute coronary syndrome: individual patient data meta-analysis
Kotanidis CP. et al, (2024), European Heart Journal, 45, 2052 - 2062
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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
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Coronary inflammation and cardiovascular risk in breast cancer after radiotherapy
Kotanidis CP. et al, (2025), European Heart Journal
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Selfies in cardiovascular medicine: welcome to a new era of medical diagnostics.
Kotanidis CP. and Antoniades C., (2020), Eur Heart J, 41, 4412 - 4414
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How Interim Analyses Work
Kotanidis C. et al, (2025), NEJM Evidence, 4
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Inflammatory risk and cardiovascular events in patients without obstructive coronary artery disease: the ORFAN multicentre, longitudinal cohort study.
Chan K. et al, (2024), Lancet, 403, 2606 - 2618
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A Swell Diagnosis
Cheung A. et al, (2025), New England Journal of Medicine, 392
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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