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A large-scale retrospective study enabled deep-learning based pathological assessment of frozen procurement kidney biopsies to predict graft loss and guide organ utilization

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Title: A large-scale retrospective study enabled deep-learning based pathological assessment of frozen procurement kidney biopsies to predict graft loss and guide organ utilization
Authors: Yi, Zhengzi, Xi, Caixia, Menon, Madhav C., Cravedi, Paolo, Tedla, Fasika, Soto, Alan, Sun, Zeguo, Liu, Keyu, Zhang, Jason, Wei, Chengguo, Chen, Man, Wang, Wenlin, Veremis, Brandon, Garcia-barros, Monica, Kumar, Abhishek, Haakinson, Danielle, Brody, Rachel, Azeloglu, Evren U., Gallon, Lorenzo, O’Connell, Philip, Naesens, Maarten, Shapiro, Ron, Colvin, Robert B., Ward, Stephen, Salem, Fadi, Zhang, Weijia
Source: In Kidney International February 2024 105(2):281-292
Database: ScienceDirect
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  – Url: https://www.doi.org/10.1016/j.kint.2023.09.031?
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  Data: In <searchLink fieldCode="JN" term="%22Kidney+International%22">Kidney International</searchLink> February 2024 105(2):281-292
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              Text: February 2024
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