Aug 2026· Frontiers in Immunology· 0 citations· 156 references
interferon and immune responses
Abstract
Type I interferonopathies (TI-IFN) represent a heterogeneous group of autoinflammatory disorders characterized by upregulated type I interferon (IFN) signaling. Among them, STING-associated vasculopathy with onset in infancy (SAVI) is a rare, severe autoinflammatory disease caused by gain-of-function mutations in the STING1 gene. Mechanistically, these mutations lead to a constitutive activation of the STING protein, resulting in excessive type I interferon production, which drives chronic inflammation and damage to various organs, primarily as cutaneous vasculopathy and progressive interstitial lung disease (ILD). Emerging clinical data indicate that current therapeutic options – including Janus kinase inhibitors (JAKi), biological agents as anifrolumab and solid organ transplantation – for SAVI face limited and often inconsistent long-term efficacy, highlighting a significant unmet need. Consistently, preclinical models highlight that SAVI pathogenesis is not only driven by the interferon storm, but relies also on non-canonical IFN-independent cellular pathways across distinct hematopoietic and non-hematopoietic compartments. This review provides a comprehensive overview of SAVI pathogenesis, from mutational mechanisms and comparative phenotypes to the clinical challenges of advanced interventions. Finally, we discuss future therapeutic prospects and clinical implications, exploring next-generation frontiers such as patient-derived induced pluripotent stem cell (iPSCs) models, hematopoietic stem cell transplantation (allo-HSCT) and gene editing (GE) technologies. The transition from immune - to a mutational-perspective, provides a foundational framework to optimize diagnostic and therapeutic strategies for precision medicine in SAVI patients.
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· 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 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· 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
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· news.mit.eduSep 14, 2026
The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.
MIT News · Artificial Intelligence· news.mit.eduSep 11, 2026
The handheld catheterization device AI-GUIDE, created by Lincoln Laboratory and Massachusetts General Hospital, promises improved health outcomes for injured service members and civilians.
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