Alejandro Frangi
{{Short description|Argentinian engineer and scientist}}
{{Orphan|date=February 2024}}
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| employer = University of Manchester
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Professor Alejandro (Alex) Frangi {{Post-nominals|country=GBR|FREng}}, sometimes Alejandro Frangi Caregnato, is an Argentinian engineer and scientist and a pioneered in computational medicine. He specialises in the engineering of machine learning for medical image analysis and modelling. He has published over 850 peer-reviewed articles in his field.{{cite web |title=Alejandro F Frangi|url=https://www.researchgate.net/profile/Alejandro-Frangi |publisher=ResearchGate}} From the University of Sheffield, UK, he was named Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2014 "for contributions to medical image analysis and image-based computational physiology."{{cite web|url=https://www.embs.org/about-embs/awards-recognition/fellow-program/2014-embs-fellows/|title=2014 EMBS Fellows|publisher=EMBS|accessdate=30 September 2019|archive-date=30 August 2018|archive-url=https://web.archive.org/web/20180830073922/https://www.embs.org/about-embs/awards-recognition/fellow-program/2014-embs-fellows/|url-status=dead}} He holds Ph.D. from Image Sciences Institute, University Medical Center Utrecht and BEng in telecommunications engineering from the Polytechnic University of Catalonia.{{cite web |title=Professor Alejandro F Frangi |url=https://www.sheffield.ac.uk/eee/staff/academics/a_frangi |archive-url=https://web.archive.org/web/20190930014801/https://www.sheffield.ac.uk/eee/staff/academics/a_frangi |archive-date=2019-09-30 |accessdate=30 September 2019 |website= |publisher=University of Sheffield}}
Education
He moved to Barcelona in 1991, where he obtained his undergraduate degree in Telecommunications Engineering from the Technical University of Catalonia in 1996. Frangi obtained grants from both Dutch Ministry of Economic Affairs and CIRIT to pursue his PhD.{{cite web |title=Alejandro Frangi bio|url=https://www.turing.ac.uk/people/researchers/alejandro-frangi |publisher=Alan Turing Institute}}
Career
Early in his career, Frangi was a visiting researcher at Imperial College, London. He also worked at Philips Medical Systems BV, The Netherlands. He currently serves as Bicentennial Turing Chair in Computational Medicine at the University of Manchester. Frangi also serves as chair in Emerging Technologies for The Royal Academy of Engineering. He also has visiting positions at KU Leuven, Shenzhen University and Beijing Institute of Technology.
Research
Frangi's most notable research and development was in the field of silico clinical trials. These clinical trials can be completed digitally and can also model and predict outcomes in the form of a computerised simulation.{{cite journal | vauthors = Abadi E, Segars WP, Tsui BM, Kinahan PE, Bottenus N, Frangi AF, Maidment A, Lo J, Samei E | display-authors = 6 | title = Virtual clinical trials in medical imaging: a review | journal = Journal of Medical Imaging | volume = 7 | issue = 4 | pages = 042805 | date = July 2020 | pmid = 32313817 | pmc = 7148435 | doi = 10.1117/1.JMI.7.4.042805 }} In April 2023, Frangi's research project INSILICO received a grant from the European Research Council. The research involves simulating clinical trials using "digital twins."{{cite web|title=Pioneering safer, cheaper and quicker clinical trials with AI 'digital twins'|url=https://www.leeds.ac.uk/news-technology/news/article/5284/pioneering-safer-cheaper-and-quicker-clinical-trials-with-ai-digital-twins |publisher=Leeds University |date=April 20, 2023}} It is hoped that technology breakthroughs in this field could reduce both the time and cost of some trials.{{cite web |title=Clinical trials are too slow and too costly—here is how to fix them |url=https://www.economist.com/clinical-trials-pod |publisher=The Economist |date=May 24, 2023}}
References
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Category:Year of birth missing (living people)
Category:Fellows_of_the_Royal_Academy_of_Engineering