Theophanous, S., Lønne, P., Choudhury, A., Berbee, M., Deijen, C., Dekker, A., Field, M., Gambacorta, M. A., Gilbert, A., Guren, M. G., Jadon, R., Kochhar, R., Martin, D., Mohamed, A. A., Muirhead, R., Parés, O., Raszewski, Å., Roy, R., Scarsbrook, A., Sebag-Montefiore, D., Spezi, E., Vassiliou, V., Malinen, E., Wee, L., Appelt, A., Adams, R., Adamska, K., Amin, M., Capocchiano, N. D., Chlap, P., Colley, P., Damiani, A., Luca, V. D., Demetriou, A., Deshpande, S., Eble, M. J., Espinoza, A., Fokas, E., Georgiou, L., Henry, A., Hoole, A., Holloway, L. C., Jansen, T., Janssen, T., Kritikopoulos, A., Lau, J. Y. G., Lee, M. T., Lilley, J., Lima, G., Lopes, P., Loveday, A., Manfrida, S., Marsden, J., Masciocchi, C., Mercer, J., Papageorgiou, E., Price, G., Rackley, T., Rödel, C. M., Savino, M., Sdrolia, A., Stroom, J., Stylianou, I., Thwaites, D., Trojanowski, M., Valentini, V., Haveren, R. V., Triest, B. V., Walker, A. (2026). An international multi-centre study to develop and validate federated learning-based prognostic models for anal cancer. Nature Communications. https://doi.org/10.1038/s41467-026-70297-3