Article

Pan-cancer image-based detection of clinically actionable genetic alterations

2019-11-08

Abstract excerpt

Precision treatment of cancer relies on genetic alterations which are diagnosed by molecular biology assays. 1 These tests can be a bottleneck in oncology workflows because of high turnaround time, tissue usage and costs. 2 Here, we show that deep learning can predict point mutations, molecular tumor subtypes and immune-related gene expression signatures 3,4 directly from routine histological images of tumor ti...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: d4118c58-02c8-5adc-99d8-a3bf4dcfbe18
DOI: 10.1101/833756

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Pan-cancer image-based detection of clinically actionable genetic alterationsDOI 10.1101/833756Read

Pan-cancer image-based detection of clinically actionable genetic alterations.Semantic proximity Read

A deep learning solution to predict tumor mutational status : an evaluation as a first-line diagnostic toolSemantic proximity Read

A Deep Learning solution for triaging patient with cancer from their predicted mutational status using histopathological imagesSemantic proximity Read

Deep Learning Predicts Underlying Features on Pathology Images with Therapeutic Relevance for Breast and Gastric CancerSemantic proximity Read

Deep learning-based prediction of molecular cancer biomarkers from tissue slides: A new tool for precision oncologySemantic proximity Read

Predicting tumour mutational burden from histopathological images using multiscale deep learningSemantic proximity Read

A systematic analysis of deep learning in genomics and histopathology for precision oncology.Semantic proximity Read

Preliminary evaluation of deep learning for first-line diagnostic prediction of tumor mutational status.Semantic proximity Read

Predicting Mutational Status of Driver and Suppressor Genes Directly from Histopathology With Deep Learning: A Systematic Study Across 23 Solid Tumor TypesSemantic proximity Read

Prediction of clinically actionable genetic alterations from colorectal cancer histopathology images using deep learning.Semantic proximity Read

Recent application of artificial intelligence on histopathologic image-based prediction of gene mutation in solid cancers.Semantic proximity Read

CancerNet: a unified deep learning network for pan-cancer diagnosticsSemantic proximity Read