Nov 2026· Frontiers in Nanotechnology· 0 citations· 161 references
RNA Interference and Gene Delivery
Abstract
The era of genetic medicine is rapidly unfolding, with major advances in tools for gene editing, silencing, and replacement. Gene editing machinery is versatile and can be delivered in the form of DNA (e.g., plasmids), RNA (e.g., mRNA and guide RNA) or directly in protein form as a ribonucleoprotein complex (RNP). Yet a fundamental challenge shared across these modalities remains: achieving safe, efficient and targeted intracellular delivery. In parallel with progress in the gene correction technologies, smart biomaterials are emerging as powerful platforms capable of overcoming the biological barriers that limit delivery. Lipid nanoparticles (LNPs) have gained remarkable momentum, enabling effective local and systemic administration and driving the first generation of genetic medicines into clinical trials. Beyond LNPs, a diverse landscape of smart materials, including programmable polymers, inorganic nanomaterials, biomimetic vesicles, virus-like particles and hybrid systems, offers complementary advantages for tissue targeting and controlled release. In this review, we summarise recent advances across these material classes, with a focus on design principles that enhance cellular uptake and enable precise intracellular release of gene editing cargos. We highlight applications spanning
ex vivo
cell engineering to
in vivo
correction of genetic diseases, and we discuss key translational considerations, including safety, manufacturability, and regulatory expectations. By integrating mechanistic understanding with clinical perspective, this review aims to guide the rational development of next-generation smart materials that will unlock the full therapeutic potential of gene-editing technologies.
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
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
Microsoft Research Blog· microsoft.comOct 29, 2026
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.