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This video is part of a series of guest expert interviews that we recorded for our new Yale Certificate Program on Medical Software and Medical AI – https://online.yale.edu/medical-software-ai-program.

Our guest is Prof Frangi is the Bicentennial Turing Chair in Computational Medicine at the University of Manchester, Manchester, UK, with joint appointments at the Schools of Computer Science and Health Sciences. 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 the Director of the Christabel Pankhurst Institute for Health Technology Research and Innovation (www.pankhurst.manchester.ac.uk). He conducts research in computational medical imaging and computational image-based medicine. Prof Frangi obtained his undergraduate degree in Telecommunications Engineering from the Technical University of Catalonia (Barcelona) in 1996. He pursued his PhD in Medicine at the Image Sciences Institute of the University Medical Centre Utrecht University on model-based cardiovascular image analysis. He leads the InSilicoUK Pro-Innovation Regulations Network (www.insilicouk.org). The video was recorded on July 19, 2024.

00:10 Introduction
10:07 From deep data to deep insights
20:35 Who was Christabel Panhurst?
23:33 In-silico trials: an introduction.
42:30 Regulators and in-silico trials.
50:11 Training people to work in this space and concluding thoughts.
Links
Frangi AF | Machine Learning for Computational Phenomics and In-Silico Trials: https://youtu.be/K8X9T7wSDqE?si=OdV1lRj0T_CZMYaa
Frangi AF | Computational Medicine & Digital Twins Improving Medical Care: https://www.youtube.com/watch?v=afPmHkOjAWo&feature=youtu.be

InSilicoUK Pro-Innovation Regulations Network www.insilicouk.org or join LinkedIn Group https://www.linkedin.com/groups/9169266/

Sarrami-Foroushani A, Lassila T, MacRaild M, Asquith J, Roes KCB, Byrne JV, Frangi AF. In-silico trial of intracranial flow diverters replicates and expands insights from conventional clinical trials. Nat Commun [Internet]. Springer Science and Business Media LLC; 2021 Jun 23 [cited 2022 Aug 19];12(1):3861. Available from: https://www.nature.com/articles/s41467-021-23998-w PMCID: PMC8222326
https://www.nature.com/articles/s41467-021-23998-w and https://vimeo.com/578167974

Liu Q, Sarrami-Foroushani A, Wang Y, MacRaild M, Kelly C, Lin F, Xia Y, Song S, Ravikumar N, Patankar T, Taylor ZA, Lassila T, Frangi AF. Hemodynamics of thrombus formation in intracranial aneurysms: An in silico observational study. APL Bioeng. 2023 Jul 7;7(3):036102. doi: 10.1063/5.0144848. https://pubs.aip.org/aip/apb/article/7/3/036102/2900843/Hemodynamics-of-thrombus-formation-in-intracranial

Redrup E, Mitchell C, Myles P, Branson R, Frangi AF. Cross-Regulator Workshop: Journeys, experiences and best practices on computer modelled and simulated regulatory evidence— Workshop Report [Internet]. InSilicoUK Pro-Innovation Regulations Network; 2023 [cited 2024 Sep 16]. Available from: https://zenodo.org/records/10121103

Frangi AF, Denison T, Myles P, Ordish J, Brown P, Turpin R, Kipping M, Palmer M, Flynn D, Afshari P, Lane C, de Cunha M, Horner M, Levine S, Marchal T, Bryan R, Tunbridge G, Pink J, Macpherson S, Niederer S, Shipley R, Dall’Ara E, Maeder T, Thompson M. Unlocking the power of computational modelling and simulation across the product lifecycle in life sciences: A UK Landscape Report [Internet]. Zenodo; 2023 [cited 2024 Sep 16]. Available from: https://zenodo.org/records/8325274 and https://vimeo.com/894224258