Pasha Normahani

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 in diagnostic devices and machine learning in peripheral arterial disease.

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 diagnostic devices, digital health and artificial intelligence. His work is currently supported by funding from the NIHR, UKRI and the Wellcome Trust. He is also currently an MBA candidate at Imperial College Business School.

Publications

Journals

• Elghazaly H, Howard T, Sharan S, et al., 2023, Evaluating the prognostic performance of bedside tests used for peripheral arterial disease diagnosis in the prediction of diabetic foot ulcer healing, Bmj Open Diabetes Research and Care, Vol:11, ISSN:2052-4897, Pages:1-11
• Normahani P, Epstein DM, Gaggero A, et al., 2023, Cost-effectiveness of Diagnostic Tools to Establish the Presence of Peripheral Arterial Disease in People With Diabetes, Annals of Surgery, Vol:277, ISSN:0003-4932, Pages:E184-E191
• Normahani P, Burgess L, Norrie J, et al., 2022, Study protocol for a multicentre comparative diagnostic accuracy study of tools to establish the presence and severity of Peripheral Arterial Disease in people with Diabetes Mellitus: the DM PAD study, Bmj Open, Vol:12, ISSN:2044-6055, Pages:1-9
• Normahani P, Poushpas S, Alaa M, et al., 2022, Diagnostic Accuracy of Point-of-care Tests Used to Detect Arterial Disease in Diabetes TEsting for Arterial Disease in Diabetes (TrEAD) Study, Annals of Surgery, Vol:276, ISSN:0003-4932, Pages:E605-E612
• Powezka K, Pettipher A, Hemakom A, et al., 2022, A Pilot Study of Heart Rate Variability Synchrony as a Marker of Intraoperative Surgical Teamwork and Its Correlation to the Length of Procedure, Sensors, Vol:22