RSS east Kent local group seminar on the application of AI in Clinical Neuroscience (1st July)

Date: Monday 01 July 2024, 11.00AM
Location: Kennedy Building, University of Kent (Hybrid event, Microsoft Teams link available)
Kennedy Seminar Room 1 (KENSR1), Kennedy Building, University of Kent
Local Group Meeting

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In this talk, two researchers from the University of Cambridge will give us the most recent research update on the application of AI to clinical neuroscience and neuroimaging genomics.

The seminars are hybrid, with the Microsoft Teams meeting link below:

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In this seminar, we will have two speakers, the first speaker, Prof Li Su from Cambridge, will give us the following talk:

Title: AI in Basic and Clinical Neuroscience 

Traditionally, neural networks have been used for data analysis and as models of the mind and the brain. These two areas have both made historically significant contributions. For example, connectionism as a model of the brain has helped cognitive psychologists to understand many computational principles in language acquisition, memory and control of action. Although modern AI inherited many fundamental structures and features in conventional neural network models, its current applications in neuroscience have primarily been data analysis, e.g. for MRI data. In this talk, I will show how modern AI can contribute to both data analysis in neuroscience and also help theorising computational principals implemented by the brain. Examples shown in this presentation will cover both basic and clinical neuroscience.  

The second speaker, Dr Weijie Wang from the School of Systems Sciences, Beijing Normal University and Department of Psychiatry, University of Cambridge, will give us the following talk:

Title: AI-based on neuroimaging genomics in the precision medicine for brain disorder

Brain disorder has complex pathological mechanism, pronounced clinical heterogeneity, and a prolonged preclinical phase, which presents a challenge early diagnosis and development of prevention strategy. With the development of large-scale neuroimaging genomic datasets and advancement of artificial intelligence (AI) algorithms, the integration of multiomics data with artificial intelligence techniques has emerged as a pivotal avenue for early detection and tailoring individualized treatments for brain disorders. To support these advances, here we present a synopsis of AI methods and strategies for the fusion of neuroimaging and genomic data. We outline applications of multiomics AI based on neuroimaging genomic data in the precision medicine for brain disorder. We examine challenges in clinical adoption and discuss emerging solutions.


Professor Li Su
is Professor of Neuroimaging and the Head of the Artificial Intelligence and Computational Neuroscience Group. He has a joint appointment at both the Department of Psychiatry, University of Cambridge and the Neuroscience Institute, University of Sheffield. He is a Fellow and Tutor at Clare Hall, University of Cambridge, an AI for Health panel member at UK Research and Innovation (UKRI), a Specialist Committee Member at the National Institute for Health and Care Excellence (NICE) and a member of the Steering group at National BRC Imaging Network. He is the regional lead for the Dementias Platform UK (DPUK) imaging network and the regional co-lead for the National Network for the Application of Data Science and AI to Dementia Research (DEMON), member of Alzheimer's Society's Research Strategy Council and member of Grant Review Committee for the Lewy Body Society. He was leading the ARUK East Network Centre until 2022. He is a Review Editor for Pharmacological Research, an Associate Editor for Frontiers in  Computational Neuroscience and a grant reviewer for many UK and overseas funding bodies. He has received numerous awards including the Alzheimer's Research UK Senior Research Fellowship Award (2017), the International Psychogeriatric Association Junior Research Award in Psychogeriatrics (2016), and the International College of Geriatric Psychoneuropharmacology Junior Investigator Award (2015).
Professor Li Su's websites: 
Cambridge directory 
 AICN group

Dr Weijie Huang is currently a postdoctoral researcher at the School of Systems Science, Beijing Normal University, and also a visiting researcher at the Department of Psychiatry, the University of Cambridge. He completed his undergraduate degree in Mathematics at the Beijing University of Posts and Telecommunications and received a PhD degree in cognitive neuroscience from Beijing Normal University. He specializes in cognitive neuroscience, with a particular focus on the relationship between cognitive ageing and brain ageing. His research focuses primarily on applying machine learning methods to brain imaging data to develop effective models for predicting the risk of cognitive impairment, laying the groundwork for early cognitive intervention. Over the years, he has published 16 academic papers in the relevant field and received support from the National Natural Science Foundation's Young Scientists Fund.
Dr Peng Liu, Lecturer in Statistics, School of Mathematics, Statistics and Actuarial Science, University of Kent, Canterbury, CT2 7NF.

Email address: P.LIU@KENT.AC.UK / PL325@KENT.AC.UK