Back to search

Article

Query-driven generative AI synthesizes multi-modal spatial omics from histology

2025-12-13

Abstract excerpt

Spatial omics technologies offer unprecedented insights into the cellular organization of tissues; however, they are not yet scalable for routine clinical use. In contrast, images of histological staining remain the foundation of pathological diagnosis despite lacking molecular information. Bridging this gap requires computational methods that can accurately infer spatial molecular data from histology alone. Here,...

Topics

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

Identifiers and source

Literature Corpus work
2319bd29-0254-5862-8e4c-ace98bdbec42
DOI
10.64898/2025.12.11.693669
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Query-driven generative AI synthesizes multi-modal spatial omics from histologyDOI 10.64898/2025.12.11.693669
Select a neighboring publication to make it the new centre.