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Using Machine Learning and Biomarkers for Early Detection of Delayed Cerebral Ischemia
Sponsor: Sahlgrenska University Hospital
Summary
The overall goal of this project is to determine if machine learning and analysis of neurospecific biomarkers can enable early detection of upcoming or ongoing cerebral ischaemia in patients suffering from subarachnoid haemorrhage with altered consciousness due to cerebral injury or sedation. Analyses of heart rate variability, electroencephalgraphy,nearinfrared spectroscopy, cerebral autoregulation, and brain injury specific biomarkers in blood and cerebrospinal fluid will be performed.
Official title: Machine Learning and Biomarkers for Early Detection of Delayed Cerebral Ischemia
Key Details
Gender
All
Age Range
18 Years - 110 Years
Study Type
OBSERVATIONAL
Enrollment
1500
Start Date
2024-01-01
Completion Date
2033-12-31
Last Updated
2026-01-12
Healthy Volunteers
No
Conditions
Interventions
No intervention, observational study
No intervention
Locations (1)
Sahlgrenska University Hospital
Gothenburg, Sweden