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1 Ergebnisse
1
Improved prediction of radiation pneumonitis by combining b..:
Tonaye Hinton
;
David Karnak
;
Ming Tang
...
http://www.sciencedirect.com/science/article/pii/S1936523322000870. , 2022
Link:
https://doi.org/10.1016/j.tranon.2022.101428
RT Journal T1
Improved prediction of radiation pneumonitis by combining biological and radiobiological parameters using a data-driven Bayesian network analysis
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:14a26493ad054b57b6d1c4139b2ae385&Exemplar=1&LAN=DE A1 Tonaye Hinton A1 David Karnak A1 Ming Tang A1 Ralph Jiang A1 Yi Luo A1 Philip Boonstra A1 Yilun Sun A1 Derek J. Nancarrow A1 Erin Sandford A1 Paramita Ray A1 Christopher Maurino A1 Martha Matuszak A1 Matthew J. Schipper A1 Michael D. Green A1 Gregory A. Yanik A1 Muneesh Tewari A1 Issam El Naqa A1 Caitlin A. Schonewolf A1 Randall Ten Haken A1 Shruti Jolly A1 Theodore S. Lawrence A1 Dipankar Ray PB Elsevier YR 2022 K1 Radiation pneumonitis K1 Inflammatory cytokines K1 MicroRNA (miRNA) K1 Tumor necrosis factor alpha (TNFα) signaling K1 nuclear factor kappa B (NFκB) K1 Data-driven Bayesian network (DD-BN) analysis K1 Neoplasms. Tumors. Oncology. Including cancer and carcinogens K1 RC254-282 JF http://www.sciencedirect.com/science/article/pii/S1936523322000870 LK http://dx.doi.org/https://doi.org/10.1016/j.tranon.2022.101428 DO https://doi.org/10.1016/j.tranon.2022.101428 SF ELIB - SuUB Bremen
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