Oct 2026· Frontiers in Bioengineering and Biotechnology· 55 references
Pancreatic function and diabetes
Abstract
For more than four decades, islet encapsulation has been defined by a single objective: to immunoprotect transplanted cells while preserving glucose sensing and insulin delivery, thereby eliminating systemic immunosuppression. No passive device has yet achieved that objective with reproducible, durable and clinically meaningful efficacy. The central limitation is not simply the absence of an optimal polymer, but an over-constrained architecture in which immune exclusion, molecular transport, therapeutic cell dose, host integration, mechanical durability and retrieval must be solved simultaneously. The clinical contrast between sealed and vascularly accessible devices makes this coupling visible: closure preserves immunological separation but intensifies transport and foreign-body constraints; opening improves tissue integration but restores immune access. Hypoimmune cell engineering now changes the allocation of these functions. Gene-edited allogeneic islet cells have survived without a capsule or systemic immunosuppression in immunocompetent primates and, to date, in one human recipient from a single programme, although therapeutic sufficiency, scalability, independent replication and long-term safety remain unresolved. We argue that this development should not make encapsulation obsolete, but should redefine its target product profile. When immune protection is increasingly engineered into the cell product, the device can be optimised for the functions that remain uniquely physical: containment, vascular integration, complete retrievability and layered safety. This shifts the biomaterials problem from molecular immunoisolation to a low-transport-resistance, defect-controlled and mechanically durable containment platform for proliferative, immune-evasive cell therapies.
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 e...
Torgeir Dingsøyr, T. Dybå, P. Abrahamsson· Agile Conference· 92 citations· ⚡7
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.· International Conference on...· 84 citations· ⚡6
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.· Journal of Systems and Softw...· 78 citations· ⚡6
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.· arXiv.org· 62 citations· ⚡3
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 adoptio...
A. Marchenko, P. Abrahamsson· Agile Conference· 59 citations· ⚡11
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.