Imperial College London

ProfessorEricAboagye

Faculty of MedicineDepartment of Surgery & Cancer

Professor
 
 
 
//

Contact

 

+44 (0)20 3313 3759eric.aboagye

 
 
//

Assistant

 

Mrs Maureen Francis +44 (0)20 7594 2793

 
//

Location

 

GN1Commonwealth BuildingHammersmith Campus

//

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

Dubash S, Barwick TD, Kozlowski K, et al., 2024, Somatostatin receptor imaging with [18F]FET-bAG-TOCAPET/CT and [68Ga]Ga-DOTA-peptide PET/CT in patientswith neuroendocrine tumors: a prospective, phase 2comparative study, The Journal of Nuclear Medicine, Vol:65, ISSN:0161-5505, Pages:416-422

Barcroft JF, Linton-Reid K, Landolfo C, et al., 2024, Machine learning and radiomics for segmentation and classification of adnexal masses on ultrasound, Npj Precis Oncol, Vol:8, ISSN:2397-768X

Boubnovski Martell M, Linton-Reid K, Chen M, et al., 2024, Deep representation learning of tissue metabolome and computed tomography annotates NSCLC classification and prognosis, Npj Precision Oncology, Vol:8, ISSN:2397-768X

Chen M, Aboagye E, 2024, In Response., J Thorac Oncol, Vol:19

Ma Q, Wang X, Feng B, et al., 2024, Fiber configuration determines foreign body response of electrospun scaffolds:in vitroandin vivoassessments., Biomed Mater, Vol:19

More Publications