Gong, K.; Magnier, B.; L’hostis, S.; Borrely, F.; Le Bon, S.; Houede, N.; Mamou, A.; Maimoun, L.; Kotzki, P.O.; Boudousq, V.
Predicting Response to [177Lu]Lu-PSMA Therapy in mCRPC Using Machine Learning. J. Pers. Med. 2024, 14, 1068.
https://doi.org/10.3390/jpm14111068
AMA Style
Gong K, Magnier B, L’hostis S, Borrely F, Le Bon S, Houede N, Mamou A, Maimoun L, Kotzki PO, Boudousq V.
Predicting Response to [177Lu]Lu-PSMA Therapy in mCRPC Using Machine Learning. Journal of Personalized Medicine. 2024; 14(11):1068.
https://doi.org/10.3390/jpm14111068
Chicago/Turabian Style
Gong, Kaiyuan, Baptiste Magnier, Salomé L’hostis, Fanny Borrely, Sébastien Le Bon, Nadine Houede, Adel Mamou, Laurent Maimoun, Pierre Olivier Kotzki, and Vincent Boudousq.
2024. "Predicting Response to [177Lu]Lu-PSMA Therapy in mCRPC Using Machine Learning" Journal of Personalized Medicine 14, no. 11: 1068.
https://doi.org/10.3390/jpm14111068
APA Style
Gong, K., Magnier, B., L’hostis, S., Borrely, F., Le Bon, S., Houede, N., Mamou, A., Maimoun, L., Kotzki, P. O., & Boudousq, V.
(2024). Predicting Response to [177Lu]Lu-PSMA Therapy in mCRPC Using Machine Learning. Journal of Personalized Medicine, 14(11), 1068.
https://doi.org/10.3390/jpm14111068
