Using machine learning algorithms to predict immunotherapy response in patients with advanced melanoma

PURPOSE: Several biomarkers of response to immune checkpoint inhibitors (ICIs) show potential but are not yet scalable to the clinic. We developed a pipeline that integrates deep learning on histology specimens with clinical data to predict ICI response in advanced melanoma. EXPERIMENTAL DESIGN: We...

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Gepubliceerd in:Clin Cancer Res
Hoofdauteurs: Johannet, Paul, Coudray, Nicolas, Donnelly, Douglas M., Jour, George, Bochaca, Irineu Illa, Xia, Yuhe, Johnson, Douglas B., Wheless, Lee, Patrinely, James R., Nomikou, Sofia, Rimm, David L., Pavlick, Anna C., Weber, Jeffrey S., Zhong, Judy, Tsirigos, Aristotelis, Osman, Iman
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2020
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7785656/
https://ncbi.nlm.nih.gov/pubmed/33208341
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1158/1078-0432.CCR-20-2415
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