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Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology.
Mol Cancer Res. 2022 Feb;20(2):202-206. doi: 10.1158/1541-7786.MCR-21-0665. Epub 2021 Dec 8.
Mol Cancer Res. 2022.
PMID: 34880124
Free PMC article.
Spatially aware deep learning reveals tumor heterogeneity patterns that encode distinct kidney cancer states.
Nyman J, Denize T, Bakouny Z, Labaki C, Titchen BM, Bi K, Hari SN, Rosenthal J, Mehta N, Jiang B, Sharma B, Felt K, Umeton R, Braun DA, Rodig S, Choueiri TK, Signoretti S, Van Allen EM.
Nyman J, et al. Among authors: hari sn.
Cell Rep Med. 2023 Sep 19;4(9):101189. doi: 10.1016/j.xcrm.2023.101189.
Cell Rep Med. 2023.
PMID: 37729872
Free PMC article.
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Spatially aware deep learning reveals tumor heterogeneity patterns that encode distinct kidney cancer states.
Nyman J, Denize T, Bakouny Z, Labaki C, Titchen BM, Bi K, Hari SN, Rosenthal J, Mehta N, Jiang B, Sharma B, Felt K, Umeton R, Braun DA, Rodig S, Choueiri TK, Signoretti S, Van Allen EM.
Nyman J, et al. Among authors: hari sn.
bioRxiv [Preprint]. 2023 Feb 20:2023.01.18.524545. doi: 10.1101/2023.01.18.524545.
bioRxiv. 2023.
PMID: 36712053
Free PMC article.
Updated.
Preprint.
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