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.
et al., 2020, Multimodal mixed reality visualisation for intraoperative surgical guidance, International Journal of Computer Assisted Radiology and Surgery, ISSN:1861-6410
et al., 2020, The ethics of taxing sugar-sweetened beverages to improve public health, Frontiers in Public Health, Vol:8, ISSN:2296-2565
et al., 2020, Remote wireless vital signs monitoring on the ward for early detection of deteriorating patients: A case series, International Journal of Nursing Studies, Vol:104, ISSN:0020-7489
et al., 2020, Projected impact of the Portuguese sugar-sweetened beverages tax on obesity incidence across different age groups: a modelling study, Plos Medicine, Vol:17, ISSN:1549-1277, Pages:1-17
et al., 2020, One year of duodenal-jejunal bypass liner therapy (Endobarrier (R)) leads to perturbations in the metabolic profile of urine, plasma and stool of obese diabetic patients., 11th Annual Scientific Meeting of the British-Obesity-and-Metabolic-Surgery-Society (BOMSS), SPRINGER, Pages:S10-S10, ISSN:0960-8923