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Computational Precision Imaging and Medicine in Regulatory Science
Speaker:Professor Alejandro F FRANGI FIEEE FSPIE FMICCAI FAAIA Diamond Jubilee Chair in Computational Medicine at the University of Leeds And KU Leuven RAEng Chair in Emerging Technologies, University of Leeds Title: "Computational Precision Imaging and Medicine in Regulatory Science" Date: Tuesday, 8 November 2022 Time: 4:00pm - 5:00pm HKT (Online) Zoom link: https://hkust.zoom.us/j/928308079?pwd=ejloVFlRcU5GVTd3QjhtOHhqV2VlZz09 Meeting ID: 928 308 079 Passcode: 2022 Abstract: In this talk, I will overview our progress in the INSILEX Programme. We envision a paradigm shift in medical device innovation where quantitative sciences are exploited to carefully engineer medical device designs, explicitly optimise clinical outcomes, and thoroughly test side effects before being marketed. INSILEX is underpinned by Computational Medicine, an emerging discipline devoted to developing quantitative approaches for understanding the mechanisms, diagnoses, and treatment of human disease through the systematic application of mathematics, engineering, and computational science. Dealing with the extraordinary multi-scale complexity and variability intrinsic to human biological systems and health data demands radically new approaches compared to methods for manufactured systems. Within this framework, INSILEX extensively uses medical image computing, a mature field challenged by the progress made across all medical imaging technologies and more recent breakthroughs in biological imaging. We advocate for "Precision Imaging", not as a new discipline but a distinct emphasis in medical imaging, unifying the efforts behind mechanistic and phenomenological model-based imaging. This talk summarises and formalises our vision of Precision Imaging for Precision Medicine and highlights connections with past research and our current focus on large-scale computational phenomics and in silico clinical trials. **************** Biography: Professor Alejandro F Frangi, FIEEE FSPIE FMICCAI FAAIA Diamond Jubilee Chair in Computational Medicine at the University of Leeds and KU Leuven RAEng Chair in Emerging Technologies, University of Leeds https://www.cistib.org/afrangi/ Professor Frangi is Diamond Jubilee Chair in Computational Medicine and Royal Academy of Engineering Chair in Emerging Technologies at the University of Leeds, Leeds, UK, with joint appointments at the Schools of Computing and Medicine. He directs the CISTIB Center for Computational Imaging and Simulation Technologies in Biomedicine. He is a Turing Fellow of the Alan Turing Institute. Prof Frangi is the Scientific Director of the Leeds Centre for HealthTech Innovation and Director of Research and Innovation of the Leeds Institute for Data Analytics. He holds an Honorary Chair at KU Leuven in the Departments of Electrical Engineering (ESAT) and Cardiovascular Science. He holds a BSc/MSc in Telecommunications Engineering from UPC Barcelona (1996) and a PhD in Imaging Science from Utrecht University (2001). Professor Frangi's main research interests lie at the crossroads of medical image analysis and modelling with an emphasis on machine learning (phenomenological models) and computational physiology (mechanistic models). He is particularly interested in statistical methods applied to population imaging and in silico clinical trials. His highly interdisciplinary work has been translated into cardiovascular, musculoskeletal and neurosciences.
Duration: 1 Hour 7 Minutes 7 Seconds