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个人简介
Paul Bentley is Clinical Director of the Imperial College Network Of Excellence in Rehabilitation Technology; Clinical Senior Lecturer and Honorary Consultant Neurologist within Brain Sciences, Imperial College London. After training at Cambridge and UCL, he undertook a research fellowship in Psychology Dept, Harvard, and a PhD in cognitive neuroscience at UCL. He is the first UK neurologist to have been dually-accredited in stroke medicine by the Royal College of Physicians. His research into clinical AI and robotics has been credited in recent years by The Lancet Editorial; UK Chief Medical Officer Annual Report; the UK Ministry for Innovation in the Dept of Health & Social Care; awarded prizes including from NHS England and UK Stroke Association; and featured on the BBC News, BBC Newsnight, CBS News, The Times, Telegraph, and The Sun. He currently leads on a NIHR-funded project developing a social therapy network for remote-interactive physiotherapy; and is the Clinical Founder of a university spinout for self-directed exercise-gaming therapy.
Research
Our group are actively mining within the current MedTech Gold Rush - wherein everyday smartdevices, AI tools, and robotics are brought to bear against the biggest healthcare problems facing humanity. An overarching goal is to develop techniques that improve diagnosis, prognosis, monitoring, cost-efficiency, automation, as well as personalised therapeutics. We are closely aligned with Bioengineering, Data Science and Computer Science Labs at Imperial, guiding technical expertise towards some of the most relevant clinical challenges. Particular interests are neuroimaging, behavioural monitoring and modification, and self-directed, portable therapies.
Notable achievements include:
1. Inventing a simple gaming device that enables people needing physiotherapy to exercise by themselves, increasing rehabilitation without requiring extra professional supervision (gripAble; See: The Sun Article; CBS News Video, MedicalNewsToday Article). (collaboration with the Human Robotics Group Imperial College).
2. Developing automated imaging analysis software that can quantify disease severity, and predict response to treatment, from the most commonly used brain scan (CT). See: The Lancet Editorial. Chief Medical Officer, UK Government, Annual Report (collaboration with Medical Imaging Analysis Group, Imperial).
3. World-first trial of selected CD34 stem cells in stoke, delivered directly to the brain. See: Telegraph Article
4. Demonstrating that paralysis after stroke is partly caused by damage to executive-control centers within the brain (see PNAS article).
Research
Our group are actively mining within the current MedTech Gold Rush - wherein everyday smartdevices, AI tools, and robotics are brought to bear against the biggest healthcare problems facing humanity. An overarching goal is to develop techniques that improve diagnosis, prognosis, monitoring, cost-efficiency, automation, as well as personalised therapeutics. We are closely aligned with Bioengineering, Data Science and Computer Science Labs at Imperial, guiding technical expertise towards some of the most relevant clinical challenges. Particular interests are neuroimaging, behavioural monitoring and modification, and self-directed, portable therapies.
Notable achievements include:
1. Inventing a simple gaming device that enables people needing physiotherapy to exercise by themselves, increasing rehabilitation without requiring extra professional supervision (gripAble; See: The Sun Article; CBS News Video, MedicalNewsToday Article). (collaboration with the Human Robotics Group Imperial College).
2. Developing automated imaging analysis software that can quantify disease severity, and predict response to treatment, from the most commonly used brain scan (CT). See: The Lancet Editorial. Chief Medical Officer, UK Government, Annual Report (collaboration with Medical Imaging Analysis Group, Imperial).
3. World-first trial of selected CD34 stem cells in stoke, delivered directly to the brain. See: Telegraph Article
4. Demonstrating that paralysis after stroke is partly caused by damage to executive-control centers within the brain (see PNAS article).
研究兴趣
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JOURNAL OF NEUROLOGYno. 2 (2024): 699-710
European Radiologypp.1-14, (2024)
Stroke: Vascular and Interventional Neurologyno. 2 (2023)
MACHINE LEARNING IN CLINICAL NEUROIMAGING, MLCN 2023 (2023): 153-162
crossref(2023)
medRxiv (Cold Spring Harbor Laboratory) (2023)
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