OncoEng, in particular its OncoEng+ network, together with colleagues at BioTrib are pleased to announce the following seminar by Professor Alejandro F Frangi:

Title:

In Silico Modelling and its Impact on Regulatory Affairs

Abstract:

Medical image analysis has grown into a matured field challenged by the progress made across all medical imaging technologies and more recent breakthroughs in biological imaging. The cross-fertilisation between medical image analysis, medical imaging physics and technology, and domain knowledge from medicine and biology has spurred a truly interdisciplinary effort that stretched outside the original boundaries of the disciplines that gave birth to this field and created stimulating and enriching synergies. Precision Imaging is not a new discipline but rather a distinct emphasis in medical imaging borne at the crossroads between and unifying the efforts behind mechanistic and phenomenological model-based imaging. Precision Imaging is characterised by being descriptive, predictive, and integrative. It captures three main directions in the effort to deal with the information deluge in imaging sciences and thus achieve wisdom from data, information, and knowledge. Precision imaging can lead to carefully and mechanistically engineered imaging biomarkers and the use of medical imaging-based computational modelling and simulation for improved regulatory science and innovation of medical products. This talk summarises and formalises our vision of Precision Imaging for Precision Medicine and highlights some connections with past research and our current focus on large-scale computational phenomics and in silico clinical trials.

Bio:

Professor Alejandra F Frangi, FIEEE FSPIE FMICCAI 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 School of Computing and the School of Medicine. He directs the CISTIB Center for Computational Imaging and Simulation Technologies in Biomedicine. Prof. Frangi e is Turing Fellow of the Alan Turing Institute. He 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 in KU Leuven in the Departments of Electrical Engineering and Cardiovascular Sciences.

OncoEng

OncoEng is a UKRI EPSRC funded flagship programme grant concerned with research into the identification and prophylactic intervention of metastatic bone disease in the spine. It comprises a collaboration between the University of Leeds, Imperial College London and University College London. OncoEng+ network brings together a researchers and innovators from a wide set of disciplines with the UK and abroad to tackle the challenges that underpin cancer using engineering and the physical sciences.

**** This is an on-line event. Attendees will receive a link to join the event the day before the event ****

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OncoEng+ Seminar In Silico Modelling and its Impact on Regulatory Affairs