Skip to content
#gene editing Review Open access

Next-generation vascular organoids: multi-lineage and immune integration for disease modeling and regenerative medicine

Aug 2026 · Vessel Plus · 0 citations · 126 references
3D Printing in Biomedical Research

Abstract

Traditional human blood vessel organoids, built primarily around endothelial monocultures, fail to replicate the multicellular architecture and dynamic immunological functions of native microvasculature. This review synthesizes an emerging paradigm shift toward third-generation, multi-lineage, and immune-competent vascular organoids. Multicellular integration, combining perivascular mural lineages (pericytes and vascular smooth muscle cells) with functional immune populations (macrophages, microglia, and lymphocytes), is delineated. Its role in reinstating baseline barrier tightness, contractility, and tissue-level immunosurveillance is highlighted. Critical bioengineering workflows are examined, with emphasis on fluidic shear stress in microfluidic platforms, the spatial precision afforded by three-dimensional (3D) bioprinting, and multiplex CRISPR gene editing. These technologies resolve lineage-specific media conflicts and enable off-the-shelf, hypoimmunogenic vascular constructs. Furthermore, the capacity of these systems to recapitulate complex pathophysiology is evaluated. Such pathophysiology includes complement-driven immunothrombosis in SARS-CoV-2 infection, neurovascular degeneration in Alzheimer’s disease, genetic small-vessel disorders, and tumor-immune barriers that govern chimeric antigen receptor T (CAR-T) cell infiltration. Finally, persistent translational hurdles are outlined, including metabolic bottlenecks, diffusion limits, scale‑up challenges, and the lack of large‑animal efficacy and safety data. Strategies that may help transition these models from research tools toward clinically relevant platforms are also discussed.

Read PDF

Similar papers

#computer vision Conference Aug 2008

A Preliminary Roadmap for Empirical Research on Agile Software Development

Some claim that especially in the field of agile software development the research lags years behind of the practice. In this paper, we characterize the status and main challenges for research on agile software development, and propose a preliminary roadmap, focusing on providing more empirical research, primarily on experienced agile teams and organizations, connecting better to existing streams of research in more established fields, giving more attention to management-oriented approaches, and finally give more emphasis to the core ideas in agile software development in order to increase our understanding. We hope that this preliminary roadmap serves as a starting point for creating a common research agenda and enables the generation of fruitful discussions and research results from the field.

Torgeir Dingsøyr, T. Dybå, P. Abrahamsson · 92 citations · ⚡7
#computer vision Book Open access Mar 2017

On the Unhappiness of Software Developers

The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.

D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al. · 84 citations · ⚡6
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Review Apr 2024

AI-powered Code Review with LLMs: Early Results

The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.

Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al. · 62 citations · ⚡3
#computer vision Conference Aug 2008

Scrum in a Multiproject Environment: An Ethnographically-Inspired Case Study on the Adoption Challenges

Agile methods continue to gain popularity. In particular, the Scrum method appears to be on the verge of becoming a de-facto standard in the industry, leading the so called Agile movement. While there are success stories and recommendations, there is little scientifically valid evidence of the challenges in the adoption of Agile methods in general, and Scrum in particular. Little, if anything, is empirically known about the application and adoption of Scrum in a multi-team and multi-project situation. The authors carried out an ethnographically informed longitudinal case study in industrial settings and closely followed how the Scrum method was adopted in a 20-person department, working in a simultaneous multi-project R&D environment. Altogether 10 challenges pertinent to the case of multi-team multi-project Scrum adoption were identified in the study. The authors contend that these results carry great relevance for other industrial teams. Future research avenues arising from the study are indicated.

A. Marchenko, P. Abrahamsson · 59 citations · ⚡11

Related blog posts

GPT-Lab Sep 17, 2026

Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering

AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.

MIT News · Artificial Intelligence Sep 14, 2026

New method enables AI for safety-critical situations

The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.