Data science, precision psychiatry, and #biomarkers, especially in #delirium, #dementia and #psychosis.
Sometimes a musician 🎻, Belfast born and bred, Views my own!
Massive thanks to my wonderful co-authors for their support on this work (and throughout my PhD!) 🙏
Massive thanks to my wonderful co-authors for their support on this work (and throughout my PhD!) 🙏
📔Next on the agenda - validation and assessment of differential outcomes.
📔Next on the agenda - validation and assessment of differential outcomes.
Class 1: Older, worse baseline cognition (despite exclusion of people with existing dementia), higher depression, and more signs of brain injury/neurodegeneration (GFAP, NfL, sTREM2).
Class 2: Fewer symptoms, better baseline cognition.
Class 1: Older, worse baseline cognition (despite exclusion of people with existing dementia), higher depression, and more signs of brain injury/neurodegeneration (GFAP, NfL, sTREM2).
Class 2: Fewer symptoms, better baseline cognition.
We analysed data from the PostOperative Delirium Belfast Study (led by Dr Emma Cunningham), to investigate subtypes of patients being assessed for delirium after surgery, using Latent Class Analysis (LCA).
LCA is a person-centred, unsupervised, statistical learning approach.
We analysed data from the PostOperative Delirium Belfast Study (led by Dr Emma Cunningham), to investigate subtypes of patients being assessed for delirium after surgery, using Latent Class Analysis (LCA).
LCA is a person-centred, unsupervised, statistical learning approach.
And finally in my spare time, I play the violin in the Oxford Millennium Orchestra! 🎻
And finally in my spare time, I play the violin in the Oxford Millennium Orchestra! 🎻