Neil Oxtoby

Please join us on Wednesday, February 28, 2024, 2:00 PM, for the next CIC Imaging Series.

Speaker

Neil Oxtoby, PhD
Principal Research Fellow, UCL Centre for Medical Image Computing
Department of Computer Science, University College London

Title

Data-driven Disease Progression Modelling: thinking outside the black box

Short Bio

Neil Oxtoby is a neurodegenerative disease progression modeller with a PhD in theoretical quantum physics, who is currently based in the Computer Science department at University College London, UK. He also plays guitar, sings, and occasionally takes selfies while wearing a colleague’s lab coat. https://neiloxtoby.com

Talk description

Data-driven disease progression models are an emerging set of computational tools that reconstruct disease timelines for long-term chronic diseases, providing unique insights into disease processes and their underlying mechanisms. Such methods combine a priori human knowledge and assumptions with large-scale data processing and parameter estimation to infer long-term disease trajectories from short-term data. In contrast to ‘black box’ machine learning tools, data-driven disease progression models typically require fewer data and are inherently interpretable, thereby aiding disease understanding in addition to enabling classification, prediction and stratification.

This talk is based on his recent Nat Rev Neurosci paper “Data-driven modelling of neurodegenerative disease progression: thinking outside the black box.”

How to attend:

• Online only
• Register for a Zoom link here