Delivering therapeutic macromolecules to defined cell populations in vivo remains a central unsolved problem in biomedicine. Proteins, nucleic acids and viral vectors are cleared by phagocytes, degraded by enzymes, blocked by endothelial and interstitial barriers, and trapped in acidifying endolysosomes. Pre-existing immunity against viral capsids excludes many patients from gene therapy, while intravenously administered nanoparticles accumulate predominantly in the liver. This thesis asks whether delivery platforms can be designed rationally, by exploiting endogenous biological and physical mechanisms, rather than by empirical formulation screening.
Four carriers were developed. NEO-TOP-EVs integrate PI(4,5)P₂-mediated membrane targeting, ESCRT-dependent vesicle scission and self-assembly-driven cargo clustering; stepwise addition of these modules progressively improved loading and enabled delivery of adenine base editor ribonucleoproteins, achieving over 90% editing in reporter cells and approximately 65% PCSK9 knockdown in hepatocytes, with preliminary evidence of functional protein delivery in vivo. NEO-AAV applies the same envelopment logic to assembled AAV capsids, yielding vesicle-enveloped particles that resist neutralising antibodies and, through a CD7/CD3/CD28 tri-chimera, mediate single-step targeting, activation and transduction of primary human T cells, including CAR-T generation. Lipid nanoparticles exploit the transient vascular permeability created by ischaemia-reperfusion injury to deliver modRNA to the infarcted myocardium, predominantly to cardiac fibroblasts. Magnetically responsive lipid nanoparticles, guided by an external field, reproducibly redirect mRNA expression away from the liver towards the heart and lungs.
Together, these studies show that mechanistic exploitation of vesicle biogenesis, disease-induced permeability and physical field guidance provides a principled basis for carrier design, and argue for a modular toolkit rather than a single optimal delivery modality.
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.