APA (7th ed.) Citation

TP, H., M, N., P, M., RH, R., & O, O. (2026). Review: Application and opportunities for machine learning and artificial intelligence in preclinical immunogenicity risk assessment. Frontiers in immunology, 17, 1720928. https://doi.org/10.3389/fimmu.2026.1720928

Chicago Style (17th ed.) Citation

TP, Hickling, Nielsen M, Meysman P, Rose RH, and Obrezanova O. "Review: Application and Opportunities for Machine Learning and Artificial Intelligence in Preclinical Immunogenicity Risk Assessment." Frontiers in Immunology 17 (2026): 1720928. https://doi.org/10.3389/fimmu.2026.1720928.

MLA (9th ed.) Citation

TP, Hickling, et al. "Review: Application and Opportunities for Machine Learning and Artificial Intelligence in Preclinical Immunogenicity Risk Assessment." Frontiers in Immunology, vol. 17, 2026, p. 1720928, https://doi.org/10.3389/fimmu.2026.1720928.