APA (7th ed.) Citation

M, P., S, C., & R, C. (2026). Response to letter to the editor: Authors response to comment on "Predictors of short-term, relapse-independent progression in multiple sclerosis: A machine learning approach based on clinical data and conventional MRI-derived features". Journal of the neurological sciences, 485, 125887. https://doi.org/10.1016/j.jns.2026.125887

Chicago Style (17th ed.) Citation

M, Petracca, Cocozza S, and Cuocolo R. "Response to Letter to the Editor: Authors Response to Comment on "Predictors of Short-term, Relapse-independent Progression in Multiple Sclerosis: A Machine Learning Approach Based on Clinical Data and Conventional MRI-derived Features"." Journal of the Neurological Sciences 485 (2026): 125887. https://doi.org/10.1016/j.jns.2026.125887.

MLA (9th ed.) Citation

M, Petracca, et al. "Response to Letter to the Editor: Authors Response to Comment on "Predictors of Short-term, Relapse-independent Progression in Multiple Sclerosis: A Machine Learning Approach Based on Clinical Data and Conventional MRI-derived Features"." Journal of the Neurological Sciences, vol. 485, 2026, p. 125887, https://doi.org/10.1016/j.jns.2026.125887.