Imperial College London


Faculty of MedicineDepartment of Surgery & Cancer

Clinical Lecturer







Norfolk PlaceSt Mary's Campus





Pasha is an NIHR Academic Clinical Lecturer, Specialist Registrar in Vascular Surgery and NHS Clinical Entrepreneur. 

He graduated with a degree in medicine from Imperial College London and is a member of the Royal College of Surgeons of England. He holds a BSc (Hons) in Surgery and an MSc in Surgical Science (Distinction) for which he was awarded the Imperial College Deans Prize. Pasha was then an NIHR Academic Clinical Fellow prior to undertaking his PhD. 

His PhD resulted in a patent filing and almost £1M in funding, including a large NIHR HTA funded multi-centre diagnostic accuracy study; Diagnostic tools to establish the presence and severity of peripheral arterial disease in people with diabetes (NIHR HTA DM PAD Study).

His primary interest is in translational research with a particular focus on digital health technologies and artificial intelligence applications in peripheral arterial disease and diabetic foot disease. He is currently working within the Hamlyn Accelerator for Surgical Innovation, with funding from the Wellcome Trust, to develop a digital platform for the prevention and management of diabetic foot disease. 



Normahani P, Boyle JJ, Cave L, et al., 2022, Peripheral blood mononuclear cell gene expression and cytokine profiling in patients with intermittent claudication who exhibit exercise induced acute renal injury., Plos One, Vol:17, ISSN:1932-6203, Pages:1-15

Sounderajah V, Ashrafian H, Karthikesalingam A, et al., 2022, Developing Specific Reporting Standards in Artificial Intelligence Centred Research., Ann Surg, Vol:275, Pages:e547-e548

Sounderajah V, 2022, Quality assessment standards in artificial intelligence diagnostic accuracy systematic reviews: a meta-research study, Npj Digital Medicine, Vol:5, ISSN:2398-6352, Pages:1-13

Normahani P, Shalhoub J, 2022, Diabetic foot disease, Surgery (oxford), Vol:40, ISSN:0263-9319, Pages:53-61

Guni A, Normahani P, Davies A, et al., 2021, Harnessing machine learning to personalize web-based health care content, Journal of Medical Internet Research, Vol:23, ISSN:1438-8871

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