Modelling and predicting the progression of neurodegenerative diseases: application to clinical trial design
This is a virtual seminar. For a Zoom link, please see "Venue details". Please consider subscribing to mailing list: web.maillist.ox.ac.uk/ox/subscribe/ai4mch
In this talk, I will review the Disease Course Mapping method, which we have designed to learn disease progression models from multimodal longitudinal data sets. Once learnt, the model estimates the trajectory of changes from the historical data of any new individual and therefore forecast individual data at any future time-point. I will show how such predictions may be used to design more powered clinical trials.
Date:
16 May 2023, 15:00 (Tuesday, 4th week, Trinity 2023)
Venue:
https://zoom.us/j/95161137105?pwd=WFR0ckVsUGNtbUh1eUN6cktaMitndz09
Speaker:
Dr Stanley Durrleman (Inria (Paris))
Organising department:
Department of Psychiatry
Organiser:
Dr Andrey Kormilitzin (University of Oxford)
Organiser contact email address:
andrey.kormilitzin@psych.ox.ac.uk
Host:
Dr Andrey Kormilitzin (University of Oxford)
Part of:
Artificial Intelligence for Mental Health Seminar Series
Booking required?:
Not required
Booking url:
https://web.maillist.ox.ac.uk/ox/info/ai4mch
Booking email:
andrey.kormilitzin@psych.ox.ac.uk
Audience:
Public
Editor:
Andrey Kormilitzin
