G, W., P, D., Z, L., Q, T., L, T., T, J., . . . H, A. (2026). Artificial intelligence approaches in biological age prediction: Current status and challenges. British journal of biomedical science, 83, 16141. https://doi.org/10.3389/bjbs.2026.16141
Chicago Style (17th ed.) CitationG, Wang, et al. "Artificial Intelligence Approaches in Biological Age Prediction: Current Status and Challenges." British Journal of Biomedical Science 83 (2026): 16141. https://doi.org/10.3389/bjbs.2026.16141.
MLA (9th ed.) CitationG, Wang, et al. "Artificial Intelligence Approaches in Biological Age Prediction: Current Status and Challenges." British Journal of Biomedical Science, vol. 83, 2026, p. 16141, https://doi.org/10.3389/bjbs.2026.16141.
Warning: These citations may not always be 100% accurate.