From Network Governance to Real-World-Time Learning: A High-Reliability Operating Model for Rare Cancers.
- DOI
- 10.3390/cancers18040643
- Published
- 2026 Feb 16
- Container
- Cancers
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3390/cancers18040643,
title = {From Network Governance to Real-World-Time Learning: A High-Reliability Operating Model for Rare Cancers.},
author = {Fuchs B and Falkowski AL and Jaeger R and Kopf B and Rothermundt C and van Oudenaarde K and Zacchariah R and Heesen P and Schelling G and Studer G and Swiss Sarcoma Network},
year = {2026},
journal = {Cancers},
doi = {10.3390/cancers18040643},
url = {https://doi.org/10.3390/cancers18040643}
}RIS
TY - JOUR TI - From Network Governance to Real-World-Time Learning: A High-Reliability Operating Model for Rare Cancers. AU - Fuchs B AU - Falkowski AL AU - Jaeger R AU - Kopf B AU - Rothermundt C AU - van Oudenaarde K AU - Zacchariah R AU - Heesen P AU - Schelling G AU - Studer G AU - Swiss Sarcoma Network PY - 2026 JO - Cancers DO - 10.3390/cancers18040643 UR - https://doi.org/10.3390/cancers18040643 ER -
APA
B, F., AL, F., R, J., B, K., C, R., K, V. O., R, Z., P, H., G, S., G, S., & Network, S. S. (2026). From Network Governance to Real-World-Time Learning: A High-Reliability Operating Model for Rare Cancers.. Cancers. https://doi.org/10.3390/cancers18040643
Source records
- pubmed · retrieved 2026-09-26T09:36:34.011Z
- europe-pmc · retrieved 2026-09-26T09:36:34.025Z