Louw, J., Nandi, T. N., Calabrese, E., Mclendon, R. E., Sun, Y., Hickey, J., … Khasraw, M. (2026). Abstract 1293: A multimodal AI framework integrating spatial omics and radiomics for recurrence prediction in glioblastoma. In Cancer Research (Vol. 86, pp. 1293–1293). American Association for Cancer Research (AACR). https://doi.org/10.1158/1538-7445.am2026-1293

Louw, Julia, Tarak N. Nandi, Evan Calabrese, Roger E. Mclendon, Ying Sun, John Hickey, Jodie Jepson, et al. “Abstract 1293: A multimodal AI framework integrating spatial omics and radiomics for recurrence prediction in glioblastoma.” In Cancer Research, 86:1293–1293. American Association for Cancer Research (AACR), 2026. https://doi.org/10.1158/1538-7445.am2026-1293.

Louw J, Nandi TN, Calabrese E, Mclendon RE, Sun Y, Hickey J, et al. Abstract 1293: A multimodal AI framework integrating spatial omics and radiomics for recurrence prediction in glioblastoma. In: Cancer Research. American Association for Cancer Research (AACR); 2026. p. 1293–1293.

Louw, Julia, et al. “Abstract 1293: A multimodal AI framework integrating spatial omics and radiomics for recurrence prediction in glioblastoma.” Cancer Research, vol. 86, no. 7_Supplement, American Association for Cancer Research (AACR), 2026, pp. 1293–1293. Crossref, doi:10.1158/1538-7445.am2026-1293.

Louw J, Nandi TN, Calabrese E, Mclendon RE, Sun Y, Hickey J, Jepson J, Corcoran A, Zhang K, Madduri RK, Khasraw M. Abstract 1293: A multimodal AI framework integrating spatial omics and radiomics for recurrence prediction in glioblastoma. Cancer Research. American Association for Cancer Research (AACR); 2026. p. 1293–1293.