ArticleAdvanced healthcare materials2026
High-Throughput Digital Decoding of Vascular Heterogeneity in Patient-Specific Tumor Microenvironments.
Article in Advanced healthcare materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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Who cites it
1 citing paper in PubMed.
- High-Throughput Digital Decoding of Vascular Heterogeneity in Patient-Specific Tumor Microenvironments.Advanced healthcare materials · 2026Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Quantitative characterization of vascular heterogeneity in complex microphysiological systems (MPS), particularly within patient-derived tumor microenvironments, remains a major challenge for scalable disease modeling and therapeutic evaluation. Existing analysis approaches primarily rely on vessel abundance-based morphometrics and often fail to resolve network connectivity and spatial remodeling in heterogeneous vascular systems. Here, we present the iMAP platform, a high-throughput digital vascular profiling framework that integrates an injection-molded microfluidic chip with an interactive image analysis tool (iMAP Analyzer). This platform enables topology-resolved and region-aware quantification of vascular architecture, capturing vessel morphology, branching complexity, connectivity, and spatial variation between tumor-proximal and distal regions. Applied to 3D co-cultures of patient-derived gastric cancer tumor spheroids with either donor-matched iPSC-derived endothelial cells (iPSC-ECs) or primary HUVECs, iMAP identified differences in network organization and spatial stability under standardized conditions, with iPSC-derived networks exhibiting increased fragmentation and peripheral instability. These findings demonstrate that connectivity-normalized and region-resolved analysis provides critical insight beyond conventional whole-image metrics. The iMAP framework offers a scalable and standardized approach for quantitative vascular phenotyping in complex MPS, supporting high-content analysis and advancing the development of vascularized in vitro disease models.
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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 Socratic graph.