APA (7th ed.) Citation

M, Z., E, K., S, R., D, P., L, X., JY, W., . . . VM, N. (2026). Deep learning-based precision phenotyping of spine curvature identifies novel genetic risk loci for scoliosis in the UK Biobank. NPJ digital medicine, 9(1), . https://doi.org/10.1038/s41746-026-02540-6

Chicago Style (17th ed.) Citation

M, Zeosky, et al. "Deep Learning-based Precision Phenotyping of Spine Curvature Identifies Novel Genetic Risk Loci for Scoliosis in the UK Biobank." NPJ Digital Medicine 9, no. 1 (2026). https://doi.org/10.1038/s41746-026-02540-6.

MLA (9th ed.) Citation

M, Zeosky, et al. "Deep Learning-based Precision Phenotyping of Spine Curvature Identifies Novel Genetic Risk Loci for Scoliosis in the UK Biobank." NPJ Digital Medicine, vol. 9, no. 1, 2026, https://doi.org/10.1038/s41746-026-02540-6.