Informatics challenges in tissue engineering and biomaterials

Area of Science:

• Biomaterials Science
• Tissue Engineering
• Dental Materials

Background:

• Tissue engineering and biomaterials have advanced significantly, but key questions persist.
• Tissue-engineered products are entering the market, necessitating better predictive models.
• Understanding cellular and biochemical reactions to implant materials is crucial.

Purpose of the Study:

• To explore how informatics can predict the cascade of biochemical and cellular reactions in tissue engineering.
• To investigate the behavior of ceramics in dentally relevant thicknesses (1-2 mm).
• To identify methods for accurately predicting the clinical performance of all-ceramic crowns.

Main Methods:

• Analyzing implant material properties: surface texture, porosity, pore size, density, connectivity, and 3D configuration.
• Studying ceramic behavior in thin layers and thicknesses relevant to dental applications.
• Evaluating the spectrum from flat-polished material to long-term clinical studies.

Main Results:

• Significant progress has been made in tissue engineering and biomaterials.
• Ceramic behavior in dentally relevant thicknesses (1-2 mm) has yielded surprising results.
• Existing knowledge gaps hinder accurate prediction of clinical performance for all-ceramic crowns.

Conclusions:

• Informatics offers a potential solution for describing and predicting tissue engineering outcomes.
• Further research is required to bridge the gap between material properties and clinical performance prediction.
• Developing informatics-driven methods is essential for accurate all-ceramic crown performance prediction.