ArticleNPJ precision oncology2025
Integrative whole slide image and spatial transcriptomics analysis with QuST and QuPath.
Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Animal models of benign airway stenosis: Advances in construction techniques, evaluation systems, and perspectives.Animal models and experimental medicine · 2026Review
- Psoriasis as a systemic inflammatory disease: an immune set-point framework for comorbidities and relapse.Frontiers in immunology · 2026Review
- Development and validation of a pathomics model to predict SOX11 expression and prognosis in hepatocellular carcinoma.Translational cancer research · 2025Article
- Thor: a platform for cell-level investigation of spatial transcriptomics and histology.Nature communications · 2025Article
- Spatial Eosinophil Phenotypes as Immunopathogenic Determinants in Inflammatory Diseases.Cells · 2025Review
- GNCnn: A QuPath extension for glomerulosclerosis and glomerulonephritis characterization based on deep learning.Computational and structural biotechnology journal · 2025Article
- Integrating spatial omics with routine haematoxylin and eosin in formalin-fixed paraffin-embedded: a step-by-step clinical workflow.F1000Research · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The integration of AI in digital pathology, particularly in whole slide image (WSI) and spatial transcriptomics (ST) analysis, holds immense potential for enhancing disease understanding. Despite challenges such as training pattern preparation and resolution disparities, the convergence of these technologies can unlock insights. We introduce QuST, a QuPath extension that bridges the gap between WSI and ST at single-cell level, highlighting the power of this integrated approach in disease biology.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.