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Experimental Approaches to Tissue Engineering
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Tissue engineering: Still facing a long way ahead.

Parichehr Hassanzadeh1, Fatemeh Atyabi1, Rassoul Dinarvand1

  • 1Nanotechnology Research Center, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.

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|April 16, 2018
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Summary

Tissue engineering (TE) offers promising solutions for diseases, but challenges like vascularization and clinical translation remain. Computational modeling may help bridge the gap between research and patient application.

Keywords:
BiomaterialDelivery systemTissue engineering

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Area of Science:

  • Biomedical Engineering
  • Regenerative Medicine

Background:

  • Tissue engineering (TE) presents alternatives to conventional treatments and organ transplantation.
  • Advances in stem cells, biomaterials, and growth factor delivery systems show therapeutic potential.

Purpose of the Study:

  • To review progress in tissue engineering.
  • To highlight potential clinical applications and solutions for common challenges.
  • To examine the role of computational modeling in clinical translation.

Main Methods:

  • Literature review of tissue engineering advances.
  • Analysis of challenges in vascularization, tissue complexity, and integration.
  • Exploration of computational modeling's role in bridging research and clinical practice.

Main Results:

  • Tissue engineering shows promise for various diseases, driven by stem cell and biomaterial advancements.
  • Significant challenges persist, including vascularization, complex tissue formation, and clinical applicability.
  • Computational modeling is identified as a key tool to facilitate the translation of TE findings.

Conclusions:

  • Tissue engineering holds significant clinical potential but requires addressing critical challenges.
  • Overcoming hurdles in vascularization, tissue quality, and integration is essential.
  • Computational modeling can accelerate the translation of basic TE research into clinical practice.