3rd International Conference on Chemo and BioInformatics, Kragujevac, September 25-26. 2025. (pp. 403-406)
AUTOR(I) / AUTHOR(S): Marija Grujovic, Aleksandar Djordjevic, Nebojsa Abadic, Gordana Jovicic, Fatima Zivic
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DOI: 10.46793/ICCBIKG25.403G
SAŽETAK / ABSTRACT:
This paper analysed influential factors governing the occurrence of hypersensitivity issues in patients with dental implants made of titanium (Ti) alloys. We presented tribological mechanisms affecting wear and fatigue in Ti alloys, outlined a method for identifying initial fatigue damage, and analysed AI-supported computational model to predict wear using experimentally obtainable input parameters. Wear debris from Ti alloy implant can trigger immune response. Fatigue cracks, driven by the material’s behavior under long-term cyclic loading and harsh dental conditions, are identified using Small Crack Theory, an essential procedure for critical small-scale structures like Ti alloy implants. Various factors influence the formation of nano/micro-cracks and wear debris in implants, while computational models and emerging IoT-based in vivo sensing offer valuable tools for predicting loading regimes and enabling real-time, customised implant design.
KLJUČNE REČI / KEYWORDS:
Dental Implants, Hypersensitivity, Wear, AI model, Small Crack Theory
PROJEKAT / ACKNOWLEDGEMENT:
This paper is supported through the EIT’s Higher Education Initiative SMART-2M, DEEPTECH-2M and A-SIDE projects, coordinated by EIT RawMaterials, funded by the European Union and the i-GREENPHARM project, HORIZON-MSCA-2023-SE-01-01, Grant No. 101182850 and supported by the Ministry of Education and Ministry of Science, Technological Development and Innovation, Republic of Serbia, Grant: No. 451- 03-137/2025-03/200107.
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