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Individualized data-driven light intervention in intensive care unit patients (C01)

Subject Area Anaesthesiology
Medical Informatics and Medical Bioinformatics
Term since 2025
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 541063275
 
Anesthesiologist Claudia Spies and data scientist Felix Balzer will use integrative high-throughput data analysis methods (i) to better characterize intensive care unit (ICU) patients in terms of their circadian rhythmicity, (ii) to identify predictors for disruption of the circadian system as well as for therapy-based improvements, and (iii) to correlate circadian rhythms with clinical parameters (e.g., delirium). Using ICU rooms equipped with ceiling light screens they will test (i) to which extent the circadian system can be strengthened by light intervention, (ii) whether light intervention strategies may be tailored to individual patient-specific parameters, and (iii) how they impact on frequency and severity of delirium.
DFG Programme CRC/Transregios
Applicant Institution shared FU Berlin and HU Berlin through:
Charité - Universitätsmedizin Berlin
 
 

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