Article

<i>Delta Marches</i> : Generative AI based image synthesis to decode disease-driving morphologic transformations

2025-03-19

Abstract excerpt

Deep learning has revealed that tissue morphology contains rich biological information beyond human understanding. However, approaches to convert these spatially distributed signals into precise subcellular insights informing disease mechanism are lacking. We introduce Delta-Marches, an interpretability-first approach that nominates distinguishing morphological features rather than explaining existing models’ deci...

Topics

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

Identifiers and source

Literature Corpus work: 3099884a-5b12-5a60-8e0d-7c668ee22358
DOI: 10.1101/2025.03.18.643999

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

<i>Delta Marches</i> : Generative AI based image synthesis to decode disease-driving morphologic transformationsDOI 10.1101/2025.03.18.643999Read

In silico spatial transcriptomic editing at single-cell resolutionSemantic proximity Read

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

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

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

HistoGWAS: An AI Framework for Automated and Interpretable Genetic Analysis of Tissue PhenotypesSemantic proximity Read

Unambiguous signatures of malignancies extracted from images of growing cellsSemantic proximity Read

A multi-model study of diagnostic faithfulness in AI-generated histopathology imagesSemantic proximity Read

Generative interpolation and restoration of images using deep learning for improved 3D tissue mappingSemantic proximity Read

Generative AI in glioma: Ensuring diversity in training image phenotypes to improve diagnostic performance for IDH mutation prediction.Semantic proximity Read

Synthetic Genitourinary Image Synthesis via Generative Adversarial Networks: Enhancing AI Diagnostic PrecisionSemantic proximity Read

Does Generative Adversarial Network Ensure Diversity in Data? Morphologic Evaluation of Synthetic Isocitrate Dehydrogenase-Mutant Glioblastomas in A Clinical Diagnostic ModelSemantic proximity Read

Information-Distilled Generative Label-Free Morphological Profiling Encodes Cellular HeterogeneitySemantic proximity Read