ArticleAdvanced materials (Deerfield Beach, Fla.)2026
Rapid Glass-Substrate Digital Light 3D Printing Enables Anatomically Accurate Stroke Patient-Specific Carotid Artery-on-Chips for Personalized Thrombosis Investigation.
Article in Advanced materials (Deerfield Beach, Fla.), 2026. 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
- Engineering neurovascular thrombosis: Light-based bioprinting for patient-specific modeling and women's cerebrovascular health.Science advances · 2026Review
- Enabling Technologies in Vascular Biology: Microphysiological Systems, Organoids, and Beyond.Arteriosclerosis, thrombosis, and vascular biology · 2026Review
- Dual RONS-responsive chemiluminescence-guided multimodal thrombolysis based on an aggregation-induced emission cobalt-porphyrin nanoplatform.Chemical science · 2026Article
- Mechanobiology of cancer-associated thrombosis: from molecular mechanisms to therapeutic innovation.Journal of nanobiotechnology · 2026Review
- Gelatin-based porous scaffolds: design concepts, production, and applications in precision regenerative medicine.Materials today. Bio · 2026Review
- Rapid Glass-Substrate Digital Light 3D Printing Enables Anatomically Accurate Stroke Patient-Specific Carotid Artery-on-Chips for Personalized Thrombosis Investigation.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- From Cells to Organoids: Approaches, Regulatory Mechanisms, Applications, and Challenges of Organoids.Cells · 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
15 authors.
Funding
Abstract
Translating patient-specific vascular geometries into functional microfluidic devices remains challenging due to fabrication limitations and lengthy processing times. Here, an ultrafast microfabrication platform is introduced using glass-substrate digital light processing 3D printing for creating patient-specific carotid artery-on-a-chip devices. The optimized protocol employs treated glass slides as printing substrates and custom-designed mechanical clamping, reducing manufacturing time from over 10 h to under 2 h with ≈100% success rate. The system accurately reproduces complex anatomical features from CT angiography data of stroke patients, including stenoses, bifurcations, and ulcerations that conventional reconstruction methods often miss. Computational fluid dynamics validation confirms preserved hemodynamic similarity between patient-scale and chip-scale geometries, with matched wall shear rates maintaining physiological relevance despite 30-fold size reduction. The platform supports endothelialization and blood perfusion, enabling real-time visualization of thrombotic processes. Integration with laser ablation technology allows controlled endothelial injury modeling at patient-specific vulnerable sites. Quantitative analysis reveals 7-10-fold higher platelet translocation in the high shear zone (>1000 s
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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.