Clinical Neurology
 

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Radu Tanasescu

Consultant Neurologist, Honorary Clinical Associate Professor of Neurology, MRC CARP,

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Expertise Summary

Neuroinflammation, Neuroimmunology - translational clinical

Research Summary

The primary aim of my clinical research is to further our understanding of the neuroimmune axis in neuroinflammation, and how this would translate in clinical applications. My current research… read more

Current Research

The primary aim of my clinical research is to further our understanding of the neuroimmune axis in neuroinflammation, and how this would translate in clinical applications. My current research interest areas regard neuroinflammation-multimorbidity, neuroinflammatory disease and neuromodulation. Typically, I seek converging evidence from clinical observations, neuroimaging, and immunology laboratory methods. I have the chance of working with experienced researchers in these fields.

I am principally interested in the interaction of body's infectious 'dwellers' with immunity and how they contribute to chronic neuroinflammation and neurodegeneration processes; the ways we can use neuroimaging to understand neuroimmune stimulation and neuroinflammatory disease course, and how our knowledge of a disease state and of the context in which we encounter and judge a disease state enables us to understand how we can manage that neurological disease.

I see the research in neuroinflammation - multimorbidity as a multiprofessional effort with neurology at its core.

Current topics I am keen on developing internal and external collaboration on are: the neuroimmunomodulation via the immune-brain axis and the gut-brain axis; how to understand and influence the impact of viruses on immunity in MS, MOGAD, NMOSD; the advanced understanding of autoimmune encephalitis, MOGAD, NMOSD and this translates in patient care; the neuroimmunology of cannabinoids.

I have a strong interest in the use of already available neuroimaging data to understand brain disease. Particularly I am interested on how artificial intelligence used on routine clinical data can inform decision making and how the available results of functional or morphometry MRI methods can be processed through coordinate based meta-analytic approaches to inform applied issues (pain processing, cognition, fatigue). radu.tanasescu@nottingham.ac.uk

Clinical Neurology

School of Medicine
The University of Nottingham
C Floor, South Block, Queen's Medical Centre Nottingham, NG7 2UH


telephone: +44 (0) 115 823 1441
email:Group Administrator