Skip to content
#gene editing Review

Advances in Odontogenic Regeneration: From Fundamental Research to Clinical Application.

Oct 2026 · ACS Applied Bio Materials · 0 citations
Medicine

Abstract

Abstract Dentin is the primary mineralized tissue of the tooth, essential for pulp protection and enamel support. Its regenerative capacity is critical for dental health. This review summarizes recent progress in odontogenic regeneration, covering fundamental biological mechanisms and translational applications. A literature search of peer-reviewed studies on odontogenic regeneration, dental tissue engineering, and biomaterial-based strategies was conducted. Key advances include signaling pathway-guided stem cell differentiation into functional odontoblasts, which promotes reparative dentin matrix formation, and biomaterial innovations that provide optimized cellular microenvironments. Emerging clinical strategies, including 3D printing, growth factor delivery systems, and gene-editing approaches, are also discussed. Despite substantial progress, challenges remain in the precise control of stem cell fate specification, long-term biocompatibility of biomaterials, and high clinical costs. Future interdisciplinary integration holds promise for overcoming these hurdles, advancing personalized therapies, and expanding dental restoration and regenerative medicine. The evolving strategies offer meaningful potential for dentin–pulp complex regeneration, improved pulp preservation, personalized scaffold fabrication via 3D printing, and the eventual development of cost-effective, biocompatible clinical therapies.

View source

Similar papers

#computer vision Conference Aug 2008

A Preliminary Roadmap for Empirical Research on Agile Software Development

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 · 92 citations · ⚡7
#computer vision Book Open access Mar 2017

On the Unhappiness of Software Developers

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. · 84 citations · ⚡6
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

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. · 78 citations · ⚡6
#computer vision Review Apr 2024

AI-powered Code Review with LLMs: Early Results

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. · 62 citations · ⚡3
#computer vision Conference Aug 2008

Scrum in a Multiproject Environment: An Ethnographically-Inspired Case Study on the Adoption Challenges

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 · 59 citations · ⚡11

Related blog posts

Microsoft Research Blog Oct 15, 2026

Proof-based general-purpose computing with Magnetar

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.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.