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Webinar on AmyloidIQ

AmyloidIQ

Invicro

AmyloidIQ

An algorithm to increase power
in clinical trials and automate radiological reads

Original Webinar date was
Thursday, June 28

11:00AM EST

Presenter: Prof. Roger Gunn, Ph.D.
EVP, Quantitative Data Sciences, Invicro

Miss the webinar and want to view the recording?  Fill out the form below to proceed.


In this webinar, Dr. Roger Gunn presents a domain knowledge based AI algorithm that can quantify the level of amyloid plaques in the human brain using an image based regression of two canonical images that capture non-specific and specific binding of PET amyloid tracers.

The algorithm produces a parameter, amyloid load, that shows increased power over SUVr based methods and its application to automating radiological reads, cross-sectional and longitudinal analysis are presented. Results are presented for the three commonly available amyloid tracers- florbetapir, florbetaben and flutametamol.


roger-gunnAbout Dr. Roger Gunn:
Roger Gunn is an international expert on imaging for disease understanding and drug development. He has a Ph.D. in Applied Mathematics from Warwick University and has worked across Academia (Imperial College London, Oxford University & McGill University), Industry (GSK & Imanova) and Government Labs (MRC Cyclotron Unit). He has made significant contributions to the development of novel imaging biomarkers, quantitative algorithms and software for a wide range of imaging applications with a focus on the neurosciences. He currently holds professorships at Imperial College London and Oxford University and has 200 publications in the field of imaging.


Amyloid Webinar

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