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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: caley k. Nat Cancer. 2024 Sep;5(9):1305-1317. doi: 10.1038/s43018-024-00793-2. Epub 2024 Jul 3. Nat Cancer. 2024. PMID: 38961276
Prediction of cancer treatment response from histopathology images through imputed transcriptomics.
Hoang DT, Dinstag G, 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: caley k. Res Sq [Preprint]. 2023 Sep 15:rs.3.rs-3193270. doi: 10.21203/rs.3.rs-3193270/v1. Res Sq. 2023. Update in: Nat Cancer. 2024 Sep;5(9):1305-1317. doi: 10.1038/s43018-024-00793-2. PMID: 37790315 Free PMC article. Updated. Preprint.