Tabari, A.; Cox, M.; D’Amore, B.; Mansur, A.; Dabbara, H.; Boland, G.; Gee, M.S.; Daye, D.
Machine Learning Improves the Prediction of Responses to Immune Checkpoint Inhibitors in Metastatic Melanoma. Cancers 2023, 15, 2700.
https://doi.org/10.3390/cancers15102700
AMA Style
Tabari A, Cox M, D’Amore B, Mansur A, Dabbara H, Boland G, Gee MS, Daye D.
Machine Learning Improves the Prediction of Responses to Immune Checkpoint Inhibitors in Metastatic Melanoma. Cancers. 2023; 15(10):2700.
https://doi.org/10.3390/cancers15102700
Chicago/Turabian Style
Tabari, Azadeh, Meredith Cox, Brian D’Amore, Arian Mansur, Harika Dabbara, Genevieve Boland, Michael S. Gee, and Dania Daye.
2023. "Machine Learning Improves the Prediction of Responses to Immune Checkpoint Inhibitors in Metastatic Melanoma" Cancers 15, no. 10: 2700.
https://doi.org/10.3390/cancers15102700
APA Style
Tabari, A., Cox, M., D’Amore, B., Mansur, A., Dabbara, H., Boland, G., Gee, M. S., & Daye, D.
(2023). Machine Learning Improves the Prediction of Responses to Immune Checkpoint Inhibitors in Metastatic Melanoma. Cancers, 15(10), 2700.
https://doi.org/10.3390/cancers15102700