Biophenotypes for Personalised Psychiatry
- Research Opportunity
- PhD, Masters by Research, Honours
- Number of Honour Places Available
|Prof. Bernhard Baunefirstname.lastname@example.org|
Current diagnostic categories in mental illness are based largely on common symptomatology rather than an understanding of the underlying mechanisms of brain, cognitive and general day-to-day function. Illness and functional trajectories describe patterns of illness and impairment in individuals over time. This research group will apply probabilistic and growth mixture multivariate modelling techniques to various measures of patient history to identify and predict specific illness and functional trajectories in mood and psychotic disorders.
Prediction of outcomes and treatment response in chronic psychosis
This study uses multimodal clinical and blood based biomarker data to predict medication response, cognition and outcomes in chronic psychosis with novel Bayesian and Machine Learning and trajectory Modelling techniques in a large samples of patients treated with depot antipsychotics or clozapine.
Prediction of outcomes and treatment response in mood disorders
This study uses multimodal clinical and blood based biomarker data to predict medication response, cognition and outcomes in chronic psychosis with novel Bayesian and Machine Learning and trajectory modelling techniques in a large sample of patients treated and has a specific focus on response to antidepressants in depression and to lithium in bipolar disorder.
Polygenic risk score prediction of psychiatric phenotypes
This study investigates the genetic prediction of clinically relevant phenotypes in depression including emotions processing, cognitive functioning and psychosocial functioning. Students will learn to create such polygenic risk scores and will analyses these in conjunction with the available data in depression.
Faculty Research Themes
School Research Themes
PhD, Masters by Research, Honours
Students who are interested in joining this project will need to consider their elegibility as well as other requirements before contacting the supervisor of this research
For further information about this research, please contact a supervisor.
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