Predicting global and regional respiratory response in ARDS patients through individualized physics-based computational lung models: a prospective clinical pilot study
- DOI
- 10.1186/s12931-026-03949-z
- Published
- 2026-10-17
- Container
- Respiratory Research
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12931-026-03949-z,
title = {Predicting global and regional respiratory response in ARDS patients through individualized physics-based computational lung models: a prospective clinical pilot study},
author = {Armin Sablewski and Maximilian Ludwig and Carolin Eichinger and Matthias Lindner and Inéz Frerichs and Patrick Langguth and Dirk Schädler and Wolfgang A. Wall and Tobias Becher},
year = {2026},
journal = {Respiratory Research},
doi = {10.1186/s12931-026-03949-z},
url = {https://doi.org/10.1186/s12931-026-03949-z}
}RIS
TY - JOUR TI - Predicting global and regional respiratory response in ARDS patients through individualized physics-based computational lung models: a prospective clinical pilot study AU - Armin Sablewski AU - Maximilian Ludwig AU - Carolin Eichinger AU - Matthias Lindner AU - Inéz Frerichs AU - Patrick Langguth AU - Dirk Schädler AU - Wolfgang A. Wall AU - Tobias Becher PY - 2026 JO - Respiratory Research DO - 10.1186/s12931-026-03949-z UR - https://doi.org/10.1186/s12931-026-03949-z ER -
APA
Sablewski, A., Ludwig, M., Eichinger, C., Lindner, M., Frerichs, I., Langguth, P., Schädler, D., Wall, W. A., & Becher, T. (2026). Predicting global and regional respiratory response in ARDS patients through individualized physics-based computational lung models: a prospective clinical pilot study. Respiratory Research. https://doi.org/10.1186/s12931-026-03949-z
Source records
- crossref · retrieved 2026-11-10T16:36:57.038Z