Article

Multiplexed tumor profiling with generative AI accelerates histopathology workflows and improves clinical predictions

2023-12-20

Abstract excerpt

<title>Abstract</title> Understanding the spatial heterogeneity of tumors and its links to disease initiation and progression is a cornerstone of cancer biology. Presently, histopathology workflows heavily rely on hematoxylin & eosin (H&E) and serial immunohistochemistry (IHC) staining, a cumbersome, tissue-exhaustive process that results in non-aligned tissue images. We propose the VirtualMultiplexer, a gener...

Topics

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

Identifiers and source

Literature Corpus work: 919171e2-5d1c-5f6c-a89c-07cdc85a508e
DOI: 10.21203/rs.3.rs-3705500/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Multiplexed tumor profiling with generative AI accelerates histopathology workflows and improves clinical predictionsDOI 10.21203/rs.3.rs-3705500/v1Read

Multiplexed tumor profiling with generative AI accelerates histopathology workflows and improves clinical predictionsSemantic proximity Read

miniMTI: minimal multiplex tissue imaging enhances biomarker expression prediction from histologySemantic proximity Read

Assessment of an AI virtual staining model performance across same and serial tissue sections using CD3 + T cell ground truthSemantic proximity Read

Query-driven generative AI synthesizes multi-modal spatial omics from histologySemantic proximity Read

Predictive modelling of highly multiplexed tumour tissue images by graph neural networksSemantic proximity Read

Delta Marches : Generative AI based image synthesis to decode disease-driving morphologic transformationsSemantic proximity Read

StereoMM: A Graph Fusion Model for Integrating Spatial Transcriptomic Data and Pathological ImagesSemantic proximity Read

H2O: A Foundation Model Bridging Histopathology to Spatial Multi-Omics ProfilingSemantic proximity Read

3D multiplexed tissue imaging reconstruction and optimized region-of-interest (ROI) selection through deep learning model of channels embeddingSemantic proximity Read

Towards real-world molecular pathology diagnosis of cancer with cross-modal AISemantic proximity Read

Integrating Histology with Spatial Molecular Programs Using a Multimodal Foundation ModelSemantic proximity Read