CHORUS in Action: Real-World Research Projects & Deployments
Human Intracerebral EEG Platform
The Human Intracerebral EEG Platform (HIP), a CHORUS deployment tailored for the collection, management, analysis, and sharing of intracerebral EEG and neuroimaging data, drives neuroscience research in collaboration with EBRAINS.
HIP Flagship Projects
Investigating how the brain links internal signals with external sounds, this study uses SEEG to measure neural responses to heartbeat-synchronized auditory stimuli and omissions in epilepsy patients. By comparing synchronous, asynchronous, and baseline conditions during wakefulness and sleep, it it aims to reveal how interoception shapes sensory predictions across brain regions and vigilance states.
This project evaluates the potential of a wearable biosensor to assess seizure severity and the risk of Sudden Unexpected Death in Epilepsy (SUDEP) in individuals with drug-resistant epilepsy. By analyzing motion-based biosignals, the study aims to identify patterns associated with generalized tonic-clonic seizures. These findings will be validated against clinical EEG and EKG data to determine the most predictive markers of SUDEP risk.
Research & Innovation Platform
CHUV will leverage CHORUS as its central platform for collaborative research and AI development, fostering its aim to propel clinical innovation and biomedical research through advanced digital infrastructure.
CHUV Flagship Projects
The Lundin-CHUV Database project expands CHUV’s Brain Tumour Biobank into an open-access, comprehensive resource, integrating clinical, radiological, and molecular data from thousands of patients. This will help identify patterns and common markers, enabling more personalized treatments and improving patient outcomes. The project aims to accelerate research, share data globally, and advance therapeutic approaches for brain tumours.
The SwissMADE project aims to detect antithrombotic-related adverse events in elderly hospital patients using AI on structured and free-text health record data. The project will validate a digital detection tool, quantify event incidence, and support safer anticoagulant use through clinical tools and risk management strategies.
Quality of Care Platform
LUCID is the SPHN National Data Stream (NDS) designed to monitor and analyze the quality of care across Swiss hospitals. CHORUS will serve as the underlying platform for hospital data integrationa and analysis.
LUCID Flagship Projects
The project aims to assess how often low-value care (LVC) occurs in patients hospitalized at the five Swiss university hospitals, to monitor trends over time, and to evaluate its impact. This includes comparing outcomes—hospital readmission, transfer in a secondary care facility, overall costs of the hospital stay, and in-hospital overall mortality—between patients who did and did not receive LVC.