Abstract: Gene delivery and the various routes of administration used to deliver viral vectors constitute a rapidly evolving field, with recent success in restoring hearing in children with OTOF variants in ongoing clinical otoferlin trials. With the rise of gene therapy for major hereditary hearing disorders, both syndromic and nonsyndromic, there has been parallel progress in the development of new delivery methods. Advances in intratympanic injection of antibiotics and corticosteroids, along with nearly half a century of experience in cochlear implantation surgery, have enabled multiple local and systemic approaches to access the inner ear. Recent industry investment in gene therapy and delivery technologies has accelerated scientific progress, underscoring the need for continuous evaluation of the most suitable gene delivery strategies for different causes of hearing loss. Although most gene delivery in animal models has been performed via round window membrane injection, yielding promising results in cochlear hair cell transduction, potential drawbacks remain for clinical translation—particularly limited vector distribution, which may result in a basal-to-apical gradient. Venting procedures such as stapes footplate fenestration or canalostomy have been explored to mitigate these limitations, and recent intrathecal or even in utero injections have been investigated as alternative approaches. Hearing loss can be inherited in multiple ways, and patient treatment with gene delivery, or even the type of gene therapy itself, may vary with the recent success of CRISPR/Cas-based editing tools. Understanding the genetic etiology of inner ear disorders has facilitated the identification of therapeutic targets and innovative delivery approaches. This review summarizes the current understanding of delivery routes for gene therapy, highlighting their respective strengths and limitations as demonstrated in translational and clinical research to date. Furthermore, it examines advances in drug delivery and clinical applications in the context of emerging therapeutics, providing an integrated overview and perspective on the future direction of gene delivery strategies.
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
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.