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Deep learning on electronic medical records identifies distinct subphenotypes of diabetic kidney disease driven by genetic variations in the Rho pathway.
Paranjpe I, Wang X, Anandakrishnan N, Haydak JC, Van Vleck T, DeFronzo S, Li Z, Mendoza A, Liu R, Fu J, Forrest I, Zhou W, Lee K, O'Hagan R, Dellepiane S, Menon KM, Gulamali F, Kamat S, Gusella GL, Charney AW, Hofer I, Cho JH, Do R, Glicksberg BS, He JC, Nadkarni GN, Azeloglu EU. Paranjpe I, et al. medRxiv [Preprint]. 2023 Sep 7:2023.09.06.23295120. doi: 10.1101/2023.09.06.23295120. medRxiv. 2023. PMID: 37732187 Free PMC article. Preprint.
Cannabis Use and CKD: Epidemiological Associations and Mendelian Randomization.
Dellepiane S, Paranjpe I, Rajagopal M, Kamat S, O'Hagan R, Gulamali F, Rein JL, Charney AW, Do R, Coca S, Glicksberg BS, Nadkarni GN. Dellepiane S, et al. Kidney Med. 2022 Dec 11;5(2):100582. doi: 10.1016/j.xkme.2022.100582. eCollection 2023 Feb. Kidney Med. 2022. PMID: 36712313 Free PMC article.
106 results