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., Clinical and laboratory evaluation of SARS-CoV-2 lateral flow assays for use in a national COVID-19 sero-prevalence survey, Thorax, ISSN:0040-6376
et al., 2020, Manuscript Strategy for improved characterisation of human metabolic phenotypes using a COmbined Multiblock Principal components Analysis with Statistical Spectroscopy (COMPASS)., Bioinformatics
et al., 2020, Economic interventions to ameliorate the impact of COVID-19 on the economy and health: an international comparison., J Public Health (oxf)
et al., 2020, Breaking bad news training in the COVID-19 era and beyond, Journal of Medical Education and Curricular Development, ISSN:2382-1205
et al., 2020, Clinical impact of multi-parameter continuous non-invasive monitoring in hospital wards: a systematic review and meta-analysis, Journal of the Royal Society of Medicine, Vol:113, ISSN:0141-0768, Pages:217-224