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Data science approaches to understanding and predicting psychiatric outcomes

Project

Data science approaches to understanding and predicting psychiatric outcomes

Project Details

The student will take a clinical informatics or bioinformatics approach to investigate causes and/or outcomes in mental disorder and/or related brain phenotypes. This could involve using GWAS summary statistics for metabolomics, genomics and proteomics and relating these to mental disorder and /or brain phenotypes, using techniques such as statistical genomics and mendelian randomisation. It could also or alternatively involve clinical data from electronic health records, in combination with biomarker data,, with a focus on psychosis and/or depression and possible relation to physical health (cardio-metabolic or immune mechanisms).

Category
Neuroscience
University
8
Project Listed Date
UK Mentor

Dr. Graham Murray

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