Data-driven models of chronic disease using unsupervised learning from healthcare data
Professor and Director of Research in the Department of Computer Science,
University College London
COM1 Level 2
Video Conference Room, COM1-02-13
Abstract:
My talk will focus on a recent line of work developing data-driven disease-progression models from large multi-modal patient data sets. Construction of such models from real-world data sets presents unique challenges in unsupervised learning. However, overcoming those challenges has the potential to revolutionise various aspects of healthcare including treatment development, precision medicine, and healthcare delivery. I will describe my group's work on the event-based model (Fonteijn et al Neuroimage 2012 https://www.ncbi.nlm.nih.gov/pubmed/22281676; Young et al Brain 2014 https://www.ncbi.nlm.nih.gov/pubmed/25012224) as well as a range of more sophisticated disease progression models currently in development within the EuroPOND consortium. I'll go on to talk about how those ideas combine with unsupervised learning to uncover previously unseen data-driven disease subtypes, e.g. using our work on SuStaIn (Young et al Biorxiv 2017 https://doi.org/10.1101/236604), how such models provide clues into underlying biological mechanisms of disease propagation, and the potential of their application in various healthcare scenarios. If time permits, I'll also provide a brief overview of the broader activities of CMIC (cmic.cs.ucl.ac.uk) focussing on specific research topics of my group including Microstructure Imaging (Alexander et al NMR in Biomedicine 2017 https://www.ncbi.nlm.nih.gov/pubmed/29193413) and recent efforts on AI-powered image reconstruction using Image Quality Transfer (Alexander et al Neuroimage 2017 https://www.ncbi.nlm.nih.gov/pubmed/28263925; Tanno et al MICCAI 2017 https://arxiv.org/abs/1705.00664).
Biodata:
I am the Director of the UCL Centre for Medical Image Computing (CMIC) at University College London (UCL). I am also a Professor and Director of Research in the Department of Computer Science at UCL. My expertise is in computational modelling, machine learning, imaging and image analysis, medical imaging, and health-data analysis. I am coordinator of the Horizon 2020 European Commission's EuroPOND project (www.europond.eu).