Clustering and predicting VCA patient populations - a machine learning approach into vascularized composite allotransplantation
- DOI
- 10.3389/fimmu.2026.1894136
- Published
- 2026-08-19
- Container
- Frontiers in Immunology
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fimmu.2026.1894136,
title = {Clustering and predicting VCA patient populations - a machine learning approach into vascularized composite allotransplantation},
author = {Leonard Knoedler and Tobias Niederegger and Thomas Schaschinger and Carsten Stahl and Jule Brandt and Curtis L. Cetrulo and Max Heiland and Gabriel Hundeshagen and Jan O. Voss and Alexandre G. Lellouch},
year = {2026},
journal = {Frontiers in Immunology},
doi = {10.3389/fimmu.2026.1894136},
url = {https://doi.org/10.3389/fimmu.2026.1894136}
}RIS
TY - JOUR TI - Clustering and predicting VCA patient populations - a machine learning approach into vascularized composite allotransplantation AU - Leonard Knoedler AU - Tobias Niederegger AU - Thomas Schaschinger AU - Carsten Stahl AU - Jule Brandt AU - Curtis L. Cetrulo AU - Max Heiland AU - Gabriel Hundeshagen AU - Jan O. Voss AU - Alexandre G. Lellouch PY - 2026 JO - Frontiers in Immunology DO - 10.3389/fimmu.2026.1894136 UR - https://doi.org/10.3389/fimmu.2026.1894136 ER -
APA
Knoedler, L., Niederegger, T., Schaschinger, T., Stahl, C., Brandt, J., Cetrulo, C. L., Heiland, M., Hundeshagen, G., Voss, J. O., & Lellouch, A. G. (2026). Clustering and predicting VCA patient populations - a machine learning approach into vascularized composite allotransplantation. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2026.1894136
Source records
- crossref · retrieved 2026-09-25T23:01:56.884Z