The TiBio Database is a comprehensive collection of structured data extracted from scientific literature on titanium-based biomaterials. This project aims to facilitate research and development in the field of antibacterial and biocompatible titanium surface modifications.
Source: 1,469 peer-reviewed research papers focused on surface-modified titanium materials for biomedical applications.
Extraction Method: AI-powered multi-agent system using advanced natural language processing to extract structured information from PDF documents.
Knowledge Graph: The extracted data is organized into a knowledge graph with 26,976 nodes and 25,507 edges, representing entities such as documents, material samples, preparation methods, characterization techniques, and test results.
This project is maintained for research purposes. For questions, collaborations, or data requests, please contact the project maintainer.
Repository: Available on GitHub (link to be added)
All data in this database is extracted from publicly available scientific literature. If you use this database in your research, please cite the original papers accessed through the provided DOI links.
This database is provided for research and educational purposes only. While we strive for accuracy, extracted data should be verified against original sources for critical applications.