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A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics.
Hoang DT, Dinstag G, Shulman ED, Hermida LC, Ben-Zvi DS, Elis E, Caley K, Sammut SJ, Sinha S, Sinha N, Dampier CH, Stossel C, Patil T, Rajan A, Lassoued W, Strauss J, Bailey S, Allen C, Redman J, Beker T, Jiang P, Golan T, Wilkinson S, Sowalsky AG, Pine SR, Caldas C, Gulley JL, Aldape K, Aharonov R, Stone EA, Ruppin E. Hoang DT, et al. Among authors: ruppin e. Nat Cancer. 2024 Sep;5(9):1305-1317. doi: 10.1038/s43018-024-00793-2. Epub 2024 Jul 3. Nat Cancer. 2024. PMID: 38961276
Harnessing synthetic lethality to predict the response to cancer treatment.
Lee JS, Das A, Jerby-Arnon L, Arafeh R, Auslander N, Davidson M, McGarry L, James D, Amzallag A, Park SG, Cheng K, Robinson W, Atias D, Stossel C, Buzhor E, Stein G, Waterfall JJ, Meltzer PS, Golan T, Hannenhalli S, Gottlieb E, Benes CH, Samuels Y, Shanks E, Ruppin E. Lee JS, et al. Among authors: ruppin e. Nat Commun. 2018 Jun 29;9(1):2546. doi: 10.1038/s41467-018-04647-1. Nat Commun. 2018. PMID: 29959327 Free PMC article.
Synthetic lethality-mediated precision oncology via the tumor transcriptome.
Lee JS, Nair NU, Dinstag G, Chapman L, Chung Y, Wang K, Sinha S, Cha H, Kim D, Schperberg AV, Srinivasan A, Lazar V, Rubin E, Hwang S, Berger R, Beker T, Ronai Z, Hannenhalli S, Gilbert MR, Kurzrock R, Lee SH, Aldape K, Ruppin E. Lee JS, et al. Among authors: ruppin e. Cell. 2021 Apr 29;184(9):2487-2502.e13. doi: 10.1016/j.cell.2021.03.030. Epub 2021 Apr 14. Cell. 2021. PMID: 33857424 Free PMC article.
373 results