Imperial College London

ProfessorEricAboagye

Faculty of MedicineDepartment of Surgery & Cancer

Professor
 
 
 
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Contact

 

+44 (0)20 3313 3759eric.aboagye

 
 
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Assistant

 

Mrs Maureen Francis +44 (0)20 7594 2793

 
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Location

 

GN1Commonwealth BuildingHammersmith Campus

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Summary

 

Summary

Eric Aboagye is Professor of Cancer Pharmacology & Molecular Imaging and Director of the CRUK-EPSRC-MRC-NIHR Comprehensive Cancer Imaging Centre. He joined the college after a PhD at the CRUK Beatson Laboratories in Glasgow, UK and post-doc fellowship at The Johns Hopkins University & Hospital in Baltimore, USA. His group is interested in the discovery and development of new methods for experimental and clinical cancer molecular imaging. In the past 5 years, the team has invented and translated three novel cancer diagnostics into human application. He has acted as an advisor to GE-Healthcare, GSK, Roche and Novartis.

Professor Aboagye was recipient of the 2009 Sir Mackenzie Davidson Medal and was  elected as a Fellow of the Academy of Medical Sciences in 2010. Academy Fellows are elected for outstanding contributions to the advancement of medical science, for innovative application of scientific knowledge or for conspicuous service to healthcare.

Publications

Journals

Li X, Marcus D, Russell J, et al., 2022, An integrated clinical-MR radiomics model to estimate survival time in patients with endometrial cancer, Journal of Magnetic Resonance Imaging, ISSN:1053-1807

Evans JS, Beaumont J, Braga M, et al., 2022, Epigenetic potentiation of somatostatin-2 by guadecitabine in neuroendocrine neoplasias as a novel method to allow delivery of peptide receptor radiotherapy., Eur J Cancer, Vol:176, Pages:110-120

Piletsky S, Kassem S, Yesilkaya H, et al., 2022, Assessing the in vivo biocompatibility of molecularly imprinted polymer nanoparticles, Polymers, ISSN:2073-4360

Hindocha S, Charlton TG, Linton-Reid K, et al., 2022, Gross tumour volume radiomics for prognostication of recurrence & death following radical radiotherapy for NSCLC, Npj Precision Oncology, Vol:6, ISSN:2397-768X, Pages:1-11

Hunter B, Chen M, Ratnakumar P, et al., 2022, A Radiomics-Based Decision Support Tool Improves Lung Cancer Diagnosis In Combination With The Herder Score in Large Lung Nodules, Ebiomedicine, ISSN:2352-3964

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