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CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20240522T091526Z
DTSTART:20240521T100000Z
DTEND:20240521T110000Z
SUMMARY:Professor Alex Frangi - In Silico Regulatory Science for the Digi
 tal Era
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}v4x-lvduh0c
 w-ir5pxp
DESCRIPTION:The Pankhurst Seminar Series\, AI in Healthcare theme is deli
 ghted to host Professor Alex Frangi on 21st May 2024 at the Christabel P
 ankhurst Institute\, in the Emmeline Suite.\n\n\nThe seminar is hybrid (
 in person or via Teams) with refreshments served afterwards.\n\n\nProf F
 rangi 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 healt
 h technologies research and innovation. He is also the Royal Academy of 
 Engineering Chair in Emerging Technologies\, with a focus on Precision C
 omputational Medicine for in silico trials of medical devices. He is an 
 Alan Turing Institute Fellow. His research vision was recently awarded a
 n ERC Advanced Grant from the European Research Council. He also leads t
 he InSilicoUK Pro-Innovation Regulations Network (www.insilicouk.org).\n
 \n\nProfessor Frangi's primary research interests lie at the crossroads 
 of medical image analysis and modelling\, emphasising machine learning (
 phenomenological models) and computational physiology (mechanistic model
 s). He is particularly interested in statistical methods applied to popu
 lation imaging and in silico clinical trials. His highly interdisciplina
 ry work has been translated into cardiovascular\, musculoskeletal and ne
 urosciences.\n\n\n\nIn this talk\, Alejandro Frangi will overview our pr
 ogress in the INSILEX Programme funded by the Royal Academy of Engineeri
 ng. We envision a paradigm shift in medical device innovation where quan
 titative sciences are exploited to carefully engineer medical device des
 igns\, explicitly optimise clinical outcomes\, and thoroughly test side 
 effects before marketing. In-silico trials (IST) are computer-based medi
 cal device trials performed on populations of virtual patients. They use
  computer models/simulations to conceive\, develop and assess devices wi
 th the intended clinical outcome explicitly optimised from the outset (a
 -priori) instead of tested on humans (a-posteriori).\n\n\n\nPlease conta
 ct jon.parkinson@manchester.ac.uk with any questions.\n\n
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:Emmeline Suite\, Christabel Pankhurst Building\, Dover Street \,
  Manchester
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