Professor Alex Frangi - In Silico Regulatory Science for the Digital Era
	
		
		
			
		
					| Dates: | 21 May 2024 | 
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							| Times: | 11:00 - 12:00 | 
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	| What is it: | Seminar | 
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	| Organiser: | The Christabel Pankhurst Institute | 
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	| Who is it for: | University staff, External researchers, Adults, Current University students | 
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	| Speaker: | Professor Alex Frangi | 
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	                	The Pankhurst Seminar Series, AI in Healthcare theme is delighted to host Professor Alex Frangi on 21st May 2024 at the Christabel Pankhurst Institute, 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 jon.parkinson@manchester.ac.uk with any questions.
	 
	
		
		
		
	
	
		Speaker
			
				Professor Alex Frangi
				
Role: Director of The Christabel Pankhurst Institute
				Organisation: The Christabel Pankhurst Institute
				
				
			 
	 
	
	
		
		Travel and Contact Information
		
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	Emmeline Suite
	Christabel Pankhurst Building
	Dover Street 
	Manchester