BRAIN AI: Biomarker Research Assessing Inflammation in Neurodegeneration using Artificial Intelligence
Theme Group:
Diagnosis and Prognosis
Funding:
iFLS UoS, NIHR ARC Wessex, NIHR/HEE ICA Programme
About the project:
Dementia diagnosis is complex and subjective, especially in the early stages of the disease. It takes on average over 2 years from symptom onset to diagnosis. Inflammation is seen as a driver leading to accelerated progression of dementia.
We are an interdisciplinary group of academics and clinicians working across medical imaging, immunology, neurology and data science. In this project, we are exploring markers of inflammation linked to dementia progression and combine them with our current imaging diagnostic tools, using artificial intelligence.
Our aim is to provide objective methods for enhancing dementia diagnosis in a clinical setting.
Key iDeAC expertise:
Dr Sofia Michopoulou
Imaging (human)
Dr Jessica Teeling
Neuroinflammation and infection
Dr Christopher Kipps
Clinical Research lead
Related projects:
SUNLIGHT (Study Using Neurovascular Longitudinal Insights to Guide Head injury Treatment)
Deep tissue theranostic imaging
Measuring the control of blood flow to the brain
BRAIN AI: Biomarker Research Assessing Inflammation in Neurodegeneration using Artificial Intelligence