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This Comment argues for better consideration of additional factors, such as external validation, real-world feasibility, and clinical utility, to improve the translation of predictive models for relapse prediction in depression.
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Funding
T.H. was funded by the German Research Foundation (DFG SFB/TRR 393, project 521379614).
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Competing interests
J.R. received speaker’s honoraria from Janssen, Hexal, Neuraxpharm and Novartis. M.G. has received remuneration from Janssen for consultancy services. T.H. has received remuneration from SpringHealth for consultancy services.
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Winter, N.R., Gruber, M., Hahn, T. et al. Moving beyond accuracy to overcome translational barriers in depression relapse prediction. Nat. Mental Health (2026). https://doi.org/10.1038/s44220-026-00661-1
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DOI: https://doi.org/10.1038/s44220-026-00661-1

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