Projects List

Cohort 2023

Project No Student Name Project Title Supervisors
1 IN3-001: Evaluating the impact of medication side effects and increasing their recognition in clinical practice Professor Robert Stewart / Dr Christoph Mueller
2 IN3-002: Machine learning in electronic health records for prognosis and diagnosis of rare neurological disorders Professor Richard Dobson / Dr Zina Ibrahim
3 CO4-004: Identification of modifiable risk factors for increased health care use in people with dementia and developing opportunities for intervention Dr Latha Velayudhan / Dr Christoph Meuller
4 CO4-010: Feasibility and acceptability of speech and mood data collection in daily life after traumatic brain injury (TBI) using digital technology Dr Nicholas Cummins / Dr Sara Simblett / Professor Dame Til Wykes
5 CO4-011: Enhancing psychosis prevention through dynamic refinement of a clinical prediction model using machine learning Professor Daniel Stahl /Professor Paolo Fusar-Poli /Dr Dominic Oliver
6 CO4-023: Predicting Outcomes for Infants with Early-Onset Epilepsy: Combining mother and baby Brain and Health Data Dr Charlotte Tye / Dr Michael Absoud
7 CO4-026: Dissecting the Epigenetic Basis of Eating Disorders in EDGI and Nanopore DNA Methylation Sequencing Data Dr Chloe Wong /Professor Gerome Breen
8 CO4-027: Identifying Drug Repositioning Opportunities Through Leveraging the Core Neurogenetics of Major Depressive Disorder Professor Gerome Breen / Dr Jonathan Coleman
9 CO4-033: Using deep phenotyping informatics to map the prevalence, process and outcomes of people with neuropsychiatric disorders Professor James Teo / Professor Mark Edwards
10 CO4-036: Flexible machine learning models to capture the dynamics of patient outcomes at scale: learning from routinely- and remotely-collected health data Dr Ewan Carr / Professor Kimberley Goldsmith
11 CO4-037: Cohort identification for mental health clinical trials: a knowledge graph approach Dr Angus Roberts /Dr Tao Wang /Professor Fiona Gaughran
12 CO4-038: Developing an open-source speech analysis toolkit for clinical applications Professor Richard Dobson / Dr Nicholas Cummins
13 CO4-045: A combinatorial approach to the multi-omics study of the biological basis of neurodegenerative diseases Dr Alfredo Iacoangeli /Professor Ammar Al-Chalabi
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