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Advancing mouse models for transplantation research.
Cravedi P, Riella LV, Ford ML, Valujskikh A, Menon MC, Kirk AD, Alegre ML, Alessandrini A, Feng S, Kehn P, Najafian N, Hancock WW, Heeger PS, Maltzman JS, Mannon RB, Nadig SN, Odim J, Turnquist H, Shaw J, West L, Luo X, Chong AS, Bromberg JS; AST COTS MOuse MOdels in Transplantation (MOMOT) work group. Cravedi P, et al. Am J Transplant. 2024 Jan 12:S1600-6135(24)00071-6. doi: 10.1016/j.ajt.2024.01.006. Online ahead of print. Am J Transplant. 2024. PMID: 38219866
A large-scale retrospective study enabled deep-learning based pathological assessment of frozen procurement kidney biopsies to predict graft loss and guide organ utilization.
Yi Z, Xi C, Menon MC, Cravedi P, Tedla F, Soto A, Sun Z, Liu K, Zhang J, Wei C, Chen M, Wang W, Veremis B, Garcia-Barros M, Kumar A, Haakinson D, Brody R, Azeloglu EU, Gallon L, O'Connell P, Naesens M, Shapiro R, Colvin RB, Ward S, Salem F, Zhang W. Yi Z, et al. Kidney Int. 2024 Feb;105(2):281-292. doi: 10.1016/j.kint.2023.09.031. Epub 2023 Nov 3. Kidney Int. 2024. PMID: 37923131