Summary
Pasha is an NIHR Academic Clinical Lecturer and Specialist Registrar in Vascular Surgery.
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 and an NHS Clinical Entrepreneur.
Publications
Journals
Smith S, Ravikumar R, Carvalho C, et al., 2024, Neuromuscular electrical stimulation for the treatment of diabetic sensorimotor polyneuropathy: A prospective, cohort, proof-of-concept study., Neurophysiol Clin, Vol:54
Malik-Tabassum K, Lamb JN, Seewoonarain S, et al., 2023, Women in trauma and orthopaedics: are we losing them at the first hurdle?, Ann R Coll Surg Engl, Vol:105, Pages:653-663
Patel K, Sounderajah V, Hanna L, et al., 2023, Quantifying the burden of survivorship associated with infrarenal abdominal aortic aneurysms, Journal of Vascular Surgery, Vol:78, ISSN:0741-5214, Pages:549-+
Poushpas S, Normahani P, Kisil I, et al., 2023, Tensor decomposition and machine learning for the detection of arteriovenous fistula stenosis: An initial evaluation, Plos One, Vol:18, ISSN:1932-6203
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