Imperial College London


Faculty of MedicineDepartment of Surgery & Cancer

Scientific Advisor



+44 (0)20 3312 7651h.ashrafian




1089Queen Elizabeth the Queen Mother Wing (QEQM)St Mary's Campus





Hutan Ashrafian is a Clinical Lecturer in Surgery. His research objectives are to develop innovative and technological strategies to resolve the global healthcare burden of obesity, metabolic syndrome, obesity-related cardiorespiratory disease, musculoskeletal dysfunction and cancer.

His work encompasses clinical and mechanistic studies of metabolic bariatric surgery, complex biostatistical models, networks and evidence synthesis to guide policy decisions, computational physiology and systems medicine, novel health technology assessment and diagnostic accuracy of biomarkers, robotics and artificial intelligence agents in healthcare, ancient history analytics, academic impact & leadership metrics and regenerative strategies including sports-based and bio-inspired bionic therapies.



McKinney SM, Sieniek M, Godbole V, et al., 2020, International evaluation of an AI system for breast cancer screening, Nature, Vol:577, ISSN:0028-0836, Pages:89-94

Thibaut B, Dewa L, Ramtale S, et al., Patient safety in inpatient mental health settings: a systematic review, Bmj Open, ISSN:2044-6055

Joshi M, Ashrafian H, Arora S, et al., 2019, Digital Alerting and Outcomes in Patients With Sepsis: Systematic Review and Meta-Analysis, Journal of Medical Internet Research, Vol:21, ISSN:1438-8871

Ashrafian H, Goodman J, The Promising Connection Between Data Science and Evolutionary Theory in Oncology, Frontiers in Oncology, ISSN:2234-943X

Judah G, Markiewicz O, Lavelle M, et al., Threats to safe transitions from hospital to home: Consensus study in primary care, British Journal of General Practice, ISSN:0960-1643

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