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Study identifier: NCT06069973 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

Using Machine Learning and Biomarkers for Early Detection of Delayed Cerebral Ischemia

Condition: Ischemic Stroke · Hemorrhagic Stroke  ·  Sponsor: Sahlgrenska University Hospital

PhaseN/A
Planned participants1500
Who can joinAll sexes, 18 Years to 110 Years
Healthy volunteersNo

About this study

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.

This description comes directly from the study's public registry record.

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Locations (1)

Sahlgrenska University HospitalGothenburg, SwedenRecruiting

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Source record: clinicaltrials.gov/study/NCT06069973