APA (7th ed.) Citation

R, A., JD, G., N, P., M, S., SEA, R., F, M., . . . N, R. (2023). Artificial intelligence-based digital scores of stromal tumour-infiltrating lymphocytes and tumour-associated stroma predict disease-specific survival in triple-negative breast cancer. The Journal of pathology, 260(1), 32. https://doi.org/10.1002/path.6061

Chicago Style (17th ed.) Citation

R, Albusayli, Graham JD, Pathmanathan N, Shaban M, Raza SEA, Minhas F, Armes JE, and Rajpoot N. "Artificial Intelligence-based Digital Scores of Stromal Tumour-infiltrating Lymphocytes and Tumour-associated Stroma Predict Disease-specific Survival in Triple-negative Breast Cancer." The Journal of Pathology 260, no. 1 (2023): 32. https://doi.org/10.1002/path.6061.

MLA (9th ed.) Citation

R, Albusayli, et al. "Artificial Intelligence-based Digital Scores of Stromal Tumour-infiltrating Lymphocytes and Tumour-associated Stroma Predict Disease-specific Survival in Triple-negative Breast Cancer." The Journal of Pathology, vol. 260, no. 1, 2023, p. 32, https://doi.org/10.1002/path.6061.