Yaghy, A., Lee, A. Y., Keane, P. A., Keenan, T. D., Mendonca, L. S., Lee, C. S., Cairns, A. M., Carroll, J., Chen, H., Clark, J., Cukras, C. A., de Sisternes, L., Domalpally, A., Durbin, M. K., Goetz, K. E., Grassmann, F., Haines, J. L., Honda, N., Hu, Z. J., Mody, C., Orozco, L. D., Owsley, C., Poor, S., Reisman, C., Ribeiro, R., Sadda, S. R., Sivaprasad, S., Staurenghi, G., Ting, D. S., Tumminia, S. J., Zalunardo, L., & Waheed, N. K. (2022). artificial intelligence-based strategies to identify patient populations and advance analysis in age-related macular degeneration clinical trials. Experimental eye research, 220, . http://access.bl.uk/ark:/81055/vdc_100157243119.0x000064