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1 Ergebnisse
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Real-world data to build explainable trustworthy artificial..:
Prelaj, Arsela
;
Galli, Edoardo Gregorio
;
Miskovic, Vanja
...
Frontiers in Oncology. 12 (2023) - p. , 2023
Link:
https://doi.org/10.3389/fonc.2022.1078822
RT Journal T1
Real-world data to build explainable trustworthy artificial intelligence models for prediction of immunotherapy efficacy in NSCLC patients
UL https://suche.suub.uni-bremen.de/peid=cr-10.3389_fonc.2022.1078822&Exemplar=1&LAN=DE A1 Prelaj, Arsela A1 Galli, Edoardo Gregorio A1 Miskovic, Vanja A1 Pesenti, Mattia A1 Viscardi, Giuseppe A1 Pedica, Benedetta A1 Mazzeo, Laura A1 Bottiglieri, Achille A1 Provenzano, Leonardo A1 Spagnoletti, Andrea A1 Marinacci, Roberto A1 De Toma, Alessandro A1 Proto, Claudia A1 Ferrara, Roberto A1 Brambilla, Marta A1 Occhipinti, Mario A1 Manglaviti, Sara A1 Galli, Giulia A1 Signorelli, Diego A1 Giani, Claudia A1 Beninato, Teresa A1 Pircher, Chiara Carlotta A1 Rametta, Alessandro A1 Kosta, Sokol A1 Zanitti, Michele A1 Di Mauro, Maria Rosa A1 Rinaldi, Arturo A1 Di Gregorio, Settimio A1 Antonia, Martinetti A1 Garassino, Marina Chiara PB Frontiers Media SA YR 2023 SN 2234-943X JF Frontiers in Oncology VO 12 LK http://dx.doi.org/https://doi.org/10.3389/fonc.2022.1078822 DO https://doi.org/10.3389/fonc.2022.1078822 SF ELIB - SuUB Bremen
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