Deep learning identified pathological abnormalities predictive of graft loss in kidney transplant biopsies.
Yi Z, Salem F, Menon MC, Keung K, Xi C, Hultin S, Haroon Al Rasheed MR, Li L, Su F, Sun Z, Wei C, Huang W, Fredericks S, Lin Q, Banu K, Wong G, Rogers NM, Farouk S, Cravedi P, Shingde M, Smith RN, Rosales IA, O'Connell PJ, Colvin RB, Murphy B, Zhang W.
Yi Z, et al.
Kidney Int. 2022 Feb;101(2):288-298. doi: 10.1016/j.kint.2021.09.028. Epub 2021 Oct 30.
Kidney Int. 2022.
PMID: 34757124
Free PMC article.
The Interstitial and Tubular Abnormality Score (ITAS) in baseline samples was highly predictive of one-year graft loss, while a Composite Damage Score in 12-month post-transplant protocol biopsies predicted later graft loss. ITASs and Composite Damage …
The Interstitial and Tubular Abnormality Score (ITAS) in baseline samples was highly predictive of one-year graft loss, while …