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深度学习将癌症的组织学、分子特征和预后联系起来。

Deep learning links histology, molecular signatures and prognosis in cancer.

机构信息

Applied Bioinformatics Laboratories, NYU Grossman School of Medicine, New York, NY, USA.

Skirball Institute, NYU Grossman School of Medicine, New York, NY, USA.

出版信息

Nat Cancer. 2020 Aug;1(8):755-757. doi: 10.1038/s43018-020-0099-2.

DOI:10.1038/s43018-020-0099-2
PMID:35122048
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11330634/
Abstract

Deep learning can be used to predict genomic alterations based on morphological features learned from digital histopathology. Two independent pan-cancer studies now show that automated learning from digital pathology slides and genomics can potentially decipher broader classes of molecular signatures and prognostic associations across cancer types.

摘要

深度学习可以用于根据从数字组织病理学中学习到的形态特征来预测基因组改变。两项独立的泛癌症研究现在表明，从数字病理幻灯片和基因组学中进行自动化学习，有可能在癌症类型之间破译更广泛的分子特征和预后关联类别。

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本文引用的文献

[1]
Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis.

Nat Cancer. 2020-8

[2]
Pan-cancer image-based detection of clinically actionable genetic alterations.

Nat Cancer. 2020-8

[3]
Prediction of BAP1 Expression in Uveal Melanoma Using Densely-Connected Deep Classification Networks.

Cancers (Basel). 2019-10-16

[4]
Multi-Field-of-View Deep Learning Model Predicts Nonsmall Cell Lung Cancer Programmed Death-Ligand 1 Status from Whole-Slide Hematoxylin and Eosin Images.

J Pathol Inform. 2019-7-23

[5]
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images.

Nat Med. 2019-7-15

[6]
Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer.

Nat Med. 2019-6-3

[7]
The current state of molecular testing in the treatment of patients with solid tumors, 2019.

CA Cancer J Clin. 2019-5-22

[8]
High-performance medicine: the convergence of human and artificial intelligence.

Nat Med. 2019-1-7

[9]
Artificial Intelligence and Digital Pathology: Challenges and Opportunities.

J Pathol Inform. 2018-11-14

[10]
Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning.

Nat Med. 2018-9-17

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