APA (7th ed.) Citation

J, W., S, W., AS, C., A, H., JB, S., K, R., & R, D. (2026). Longitudinal modeling of Post-COVID-19 condition over three years: A machine learning approach using clinical, neuropsychological, and fluid markers. Scientific reports, 16(1), 6517. https://doi.org/10.1038/s41598-026-37635-3

Chicago Style (17th ed.) Citation

J, Walders, Wetz S, Costa AS, Hofmann A, Schulz JB, Reetz K, and Dadsena R. "Longitudinal Modeling of Post-COVID-19 Condition over Three Years: A Machine Learning Approach Using Clinical, Neuropsychological, and Fluid Markers." Scientific Reports 16, no. 1 (2026): 6517. https://doi.org/10.1038/s41598-026-37635-3.

MLA (9th ed.) Citation

J, Walders, et al. "Longitudinal Modeling of Post-COVID-19 Condition over Three Years: A Machine Learning Approach Using Clinical, Neuropsychological, and Fluid Markers." Scientific Reports, vol. 16, no. 1, 2026, p. 6517, https://doi.org/10.1038/s41598-026-37635-3.