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.


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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.