Enabling technologies towards personalization of scaffolds for large bone defect regeneration
Patrina Sp Poh1, Thomas Lingner2, Stefan Kalkhof3
1Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Julius Wolff Institute, Germany.
Current Opinion in Biotechnology
|January 10, 2022
Summary
Personalized tissue regeneration using additive manufacturing (AM) is advancing. Integrating in silico modeling, omics, and data management enables tailored scaffolds for improved patient outcomes in precision medicine.
Area of Science:
- Biomaterials Science
- Regenerative Medicine
- Bioinformatics
Background:
- Additive manufacturing (AM) offers personalized scaffolds for tissue regeneration, addressing a significant clinical need.
- Individual biological variability presents challenges in matching patient-specific needs with scaffold design and composition.
- Current approaches require better integration of patient data for effective personalized regenerative strategies.
Purpose of the Study:
- To review state-of-the-art technologies for personalized scaffold design in tissue regeneration.
- To explore the synergistic potential of integrating in silico modeling, omics, bioinformatics, and information technology with AM.
- To highlight the pathway toward making personalized tissue regeneration accessible for precision medicine.
Main Methods:
- Review of current in silico modeling techniques for scaffold design.
- Analysis of omics and bioinformatics approaches for capturing patient-specific biology.
- Examination of information technology solutions for managing complex biological and design data.
- Assessment of synergistic integration of these technologies with AM.
Main Results:
- AM provides design freedom for scaffolds, but biological heterogeneity necessitates personalized approaches.
- In silico modeling, omics, bioinformatics, and IT offer tools to bridge the gap between AM capabilities and individual patient biology.
- Synergistic integration of these technologies with AM is crucial for developing effective personalized regeneration strategies.
Conclusions:
- Combining advanced computational and data management tools with AM is key to personalized tissue regeneration.
- This integrated approach has the potential to democratize personalized regenerative medicine and advance precision medicine.
- Tailoring scaffolds to individual patient biology, anatomy, and mechanics is achievable through this multidisciplinary strategy.
