Article Versions Notes

Corrivetti G, Monaco F, Vignapiano A, Marenna A, Palm K, Fernández-Arroyo S, Frigola-Capell E, Leen V, Ibarrola O, Amil B, et al. Optimizing and Predicting Antidepressant Efficacy in Patients with Major Depressive Disorder Using Multi-Omics Analysis and the Opade AI Prediction Tools. Brain Sciences. 2024; 14(7):658. https://doi.org/10.3390/brainsci14070658

Corrivetti, Giulio, Francesco Monaco, Annarita Vignapiano, Alessandra Marenna, Kaia Palm, Salvador Fernández-Arroyo, Eva Frigola-Capell, Volker Leen, Oihane Ibarrola, Burak Amil, and et al. 2024. "Optimizing and Predicting Antidepressant Efficacy in Patients with Major Depressive Disorder Using Multi-Omics Analysis and the Opade AI Prediction Tools" Brain Sciences 14, no. 7: 658. https://doi.org/10.3390/brainsci14070658

Corrivetti, G., Monaco, F., Vignapiano, A., Marenna, A., Palm, K., Fernández-Arroyo, S., Frigola-Capell, E., Leen, V., Ibarrola, O., Amil, B., Caruson, M. M., Chiariotti, L., Palacios-Ariza, M. A., Hoekstra, P. J., Chiang, H.-Y., Floareș, A., Fagiolini, A., & Fasano, A. (2024). Optimizing and Predicting Antidepressant Efficacy in Patients with Major Depressive Disorder Using Multi-Omics Analysis and the Opade AI Prediction Tools. Brain Sciences, 14(7), 658. https://doi.org/10.3390/brainsci14070658