Tendon regeneration deserves better: focused review on In vivo models, artificial intelligence and 3D bioprinting approaches DOI Creative Commons
Damla Aykora, Burak Taşçı,

Muhammed Zahid Şahin

et al.

Frontiers in Bioengineering and Biotechnology, Journal Year: 2025, Volume and Issue: 13

Published: April 25, 2025

Tendon regeneration has been one of the most challenging issues in orthopedics. Despite various surgical techniques and rehabilitation methods, tendon tears or ruptures cannot wholly regenerate gain load-bearing capacity tissue had before injury. The enhancement mostly requires grafting an artificial tendon-like to replace damaged tendon. engineering offers promising regenerative effects with numerous additive manufacturing context. 3D bioprinting is a widely used method produce tissues based on biocompatible substitutes. There are multiple bio-inks for fabricating innovative scaffolds applications. Nevertheless, there still many drawbacks overcome successful injured tissue. important target catch highest similarity requirements such as anisotropy, porosity, viscoelasticity, mechanical strength, cell-compatible constructs. To achieve best-designed structure, novel AI-based systems field may unveil excellent final products re-establish integrity functionality. AI-driven optimization can enhance bio-ink selection, scaffold architecture, printing parameters, ensuring better alignment biomechanical properties native tendons. Furthermore, AI algorithms facilitate real-time process monitoring adaptive adjustments, improving reproducibility precision fabrication. Thus, vitro biocompatibility vivo application-based experimental processes will make it possible accelerate healing reach required strength. Integrating predictive modeling further refine these evaluate performance, cell viability, durability, ultimately translation into clinical Here this review, approaches technology incorporation were given addition models.

Language: Английский

Advances in Bioprinting with a Focus on Self-Healing Hydrogels Bio-inks for Soft Tissue Regeneration: Innovations, Applications, and Future Perspectives DOI

Mohadeseh Pourmokhtari,

Alireza Mohammad-Namazi,

Nasim Mohseni

et al.

Materials Today Communications, Journal Year: 2025, Volume and Issue: unknown, P. 112094 - 112094

Published: March 1, 2025

Language: Английский

Citations

0
Tendon regeneration deserves better: focused review on In vivo models, artificial intelligence and 3D bioprinting approaches DOI Creative Commons
Damla Aykora, Burak Taşçı,

Muhammed Zahid Şahin

et al.

Frontiers in Bioengineering and Biotechnology, Journal Year: 2025, Volume and Issue: 13

Published: April 25, 2025

Tendon regeneration has been one of the most challenging issues in orthopedics. Despite various surgical techniques and rehabilitation methods, tendon tears or ruptures cannot wholly regenerate gain load-bearing capacity tissue had before injury. The enhancement mostly requires grafting an artificial tendon-like to replace damaged tendon. engineering offers promising regenerative effects with numerous additive manufacturing context. 3D bioprinting is a widely used method produce tissues based on biocompatible substitutes. There are multiple bio-inks for fabricating innovative scaffolds applications. Nevertheless, there still many drawbacks overcome successful injured tissue. important target catch highest similarity requirements such as anisotropy, porosity, viscoelasticity, mechanical strength, cell-compatible constructs. To achieve best-designed structure, novel AI-based systems field may unveil excellent final products re-establish integrity functionality. AI-driven optimization can enhance bio-ink selection, scaffold architecture, printing parameters, ensuring better alignment biomechanical properties native tendons. Furthermore, AI algorithms facilitate real-time process monitoring adaptive adjustments, improving reproducibility precision fabrication. Thus, vitro biocompatibility vivo application-based experimental processes will make it possible accelerate healing reach required strength. Integrating predictive modeling further refine these evaluate performance, cell viability, durability, ultimately translation into clinical Here this review, approaches technology incorporation were given addition models.

Language: Английский

Citations

0