In Silico Regulatory Science for the Digital Era by Professor Alex Frangi

Tue May 21 2024 at 11:00 am to 12:00 pm UTC+01:00

Christabel Pankhurst Building | Manchester

The Christabel Pankhurst Institute
Publisher/HostThe Christabel Pankhurst Institute
In Silico Regulatory Science for the Digital Era by Professor Alex Frangi
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Join us for a deep dive into how digital tools are revolutionizing regulatory science with Professor Alex Frangi!
About this Event

The Pankhurst Seminar Series, AI in Healthcare theme is delighted to host Professor Alex Frangi on 21st May 2024 at the Christabel Pankhurst Insitute, in the Emmeline Suite.

The seminar is hybrid (in person or via Teams) with refreshments served afterwards.

Prof Frangi is the Bicentennial Turing Chair in Computational Medicine at the University of Manchester, Manchester, UK, with joint appointments at the Computer Science and Health Sciences Schools. He is a member of the Christabel Pankhurst Institute (www.pankhurst.manchester.ac.uk) on health technologies research and innovation. He is also the Royal Academy of Engineering Chair in Emerging Technologies, with a focus on Precision Computational Medicine for in silico trials of medical devices. He is an Alan Turing Institute Fellow. His research vision was recently awarded an ERC Advanced Grant from the European Research Council. He also leads the InSilicoUK Pro-Innovation Regulations Network (www.insilicouk.org).

Professor Frangi's primary research interests lie at the crossroads of medical image analysis and modelling, emphasising 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.


In this talk, Alejandro Frangi will overview our progress in the INSILEX Programme funded by the Royal Academy of Engineering. 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 marketing. In-silico trials (IST) are computer-based medical device trials performed on populations of virtual patients. They use computer models/simulations to conceive, develop and assess devices with the intended clinical outcome explicitly optimised from the outset (a-priori) instead of tested on humans (a-posteriori).


Please contact [email protected] with any questions.





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Event Venue & Nearby Stays

Christabel Pankhurst Building, Dover Street, Manchester, United Kingdom

Tickets

GBP 0.00

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