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., 2017, Systematic review on the predictive ability of frailty assessment measures in cardiac surgery., Interact Cardiovasc Thorac Surg
et al., 2017, Elevated serum microRNA 483-5p levels may predict patients at risk of post-operative atrial fibrillation., Eur J Cardiothorac Surg, Vol:51, Pages:73-78
et al., 2017, Diagnostic Accuracy of Intraoperative Techniques for Margin Assessment in Breast Cancer Surgery: A Meta-analysis., Ann Surg, Vol:265, Pages:300-310
Protopapas AD, Ashrafian H, Athanasiou T, Dura censor sed censor: A reviewer’s ongoing audit of 11 years in the journals of the European Association for Cardio-thoracic Surgery, Frontiers - simulation for training in cardiothoracic surgery
Protopapas AD, Ashrafian H, Athanasiou T, Tumour thrombi in the cavae, Charing Cross Symposium 2016