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Prediction of cancer treatment response from histopathology images through imputed transcriptomics

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Prediction of cancer treatment response from histopathology images through imputed transcriptomics

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2755368019

Prediction of cancer treatment response from histopathology images through imputed transcriptomics

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Cold Spring Harbor: Cold Spring Harbor Laboratory Press

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Contents

Advances in artificial intelligence have paved the way for leveraging hematoxylin and eosin (H&E)-stained tumor slides for precision oncology. We present ENLIGHT-DeepPT, the first approach for predicting response to multiple targeted and immunotherapies directly from H&E-slides. ENLIGHT-DeepPT consists of: (1) DeepPT, a new deep-learning framework...

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Full title

Prediction of cancer treatment response from histopathology images through imputed transcriptomics

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Record Identifier

TN_cdi_proquest_journals_2755368019

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2755368019

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E-ISSN

2692-8205

DOI

10.1101/2022.06.07.495219

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