Mikulski, D.; Kędzior, M.K.; Mirocha, G.; Jerzmanowska-Piechota, K.; Witas, Ż.; Woźniak, Ł.; Pawlak, M.; Kościelny, K.; Kośny, M.; Robak, P.;
et al. Predictors and Profile of Severe Infectious Complications in Multiple Myeloma Patients Treated with Daratumumab-Based Regimens: A Machine Learning Model for Pneumonia Risk. Cancers 2024, 16, 3709.
https://doi.org/10.3390/cancers16213709
AMA Style
Mikulski D, Kędzior MK, Mirocha G, Jerzmanowska-Piechota K, Witas Ż, Woźniak Ł, Pawlak M, Kościelny K, Kośny M, Robak P,
et al. Predictors and Profile of Severe Infectious Complications in Multiple Myeloma Patients Treated with Daratumumab-Based Regimens: A Machine Learning Model for Pneumonia Risk. Cancers. 2024; 16(21):3709.
https://doi.org/10.3390/cancers16213709
Chicago/Turabian Style
Mikulski, Damian, Marcin Kamil Kędzior, Grzegorz Mirocha, Katarzyna Jerzmanowska-Piechota, Żaneta Witas, Łukasz Woźniak, Magdalena Pawlak, Kacper Kościelny, Michał Kośny, Paweł Robak,
and et al. 2024. "Predictors and Profile of Severe Infectious Complications in Multiple Myeloma Patients Treated with Daratumumab-Based Regimens: A Machine Learning Model for Pneumonia Risk" Cancers 16, no. 21: 3709.
https://doi.org/10.3390/cancers16213709
APA Style
Mikulski, D., Kędzior, M. K., Mirocha, G., Jerzmanowska-Piechota, K., Witas, Ż., Woźniak, Ł., Pawlak, M., Kościelny, K., Kośny, M., Robak, P., Gołos, A., Robak, T., Fendler, W., & Góra-Tybor, J.
(2024). Predictors and Profile of Severe Infectious Complications in Multiple Myeloma Patients Treated with Daratumumab-Based Regimens: A Machine Learning Model for Pneumonia Risk. Cancers, 16(21), 3709.
https://doi.org/10.3390/cancers16213709
