Decision Support System for the Design Process of Apatite Biopolymer Composite Parts
In connection with the increase in the number and severity of various types of bone tissue injuries received as a result of wounds during military operations in Ukraine, an important issue in orthopedics and traumatology is making informed decisions about the possibility of restoring the integrity a...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-12-01
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| Series: | Management Systems in Production Engineering |
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| Online Access: | https://doi.org/10.2478/mspe-2024-0052 |
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| author | Panda Anton Dyadyura Kostiantyn Dmitrishin Dmitriy Smorodin Andrey Prokopovich Igor |
| author_facet | Panda Anton Dyadyura Kostiantyn Dmitrishin Dmitriy Smorodin Andrey Prokopovich Igor |
| author_sort | Panda Anton |
| collection | DOAJ |
| description | In connection with the increase in the number and severity of various types of bone tissue injuries received as a result of wounds during military operations in Ukraine, an important issue in orthopedics and traumatology is making informed decisions about the possibility of restoring the integrity and functions of bone tissue when using different types of composition, porosity and strength of apatite-biopolymer composites. The scientific direction of research is the development of principles and methods for making scientifically based decisions in the design and additive manufacturing of bone substitutes based on apatite-biopolymer composites with functional properties depending on the nature of the localization of the cavity bone defect and its size. A set of methods for analyzing images of bone tissue, taking into account its spatial structure, which are obtained by sensors of different physical nature, with the use of neural network models, development of methods of their design, optimization and training is proposed. The new knowledge obtained as a result of the project will become the necessary basis for making optimal decisions in practice for the introduction of the latest methods of treatment and prosthetics in trauma surgery, oncology, cranio-maxillofacial surgery, dentistry, taking into account the risks of biocompatibility of apatite-biopolymer composites. Software development of an intelligent decision support system will be used to design bone substitutes with controlled composition, structure, porosity and mechanical strength for the further selection of additive technology for its production from apatite-polymer composites, which will contribute to increasing the efficiency of treatment and prosthetics in orthopedics and traumatology. |
| format | Article |
| id | doaj-art-bc48b5a65bf64978a2a1082f3c3ea41d |
| institution | Kabale University |
| issn | 2450-5781 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Management Systems in Production Engineering |
| spelling | doaj-art-bc48b5a65bf64978a2a1082f3c3ea41d2024-12-10T07:33:27ZengSciendoManagement Systems in Production Engineering2450-57812024-12-0132454855410.2478/mspe-2024-0052Decision Support System for the Design Process of Apatite Biopolymer Composite PartsPanda Anton0Dyadyura Kostiantyn1Dmitrishin Dmitriy2Smorodin Andrey3Prokopovich Igor41Technical University of Kosice2Odesa Polytechnic National University2Odesa Polytechnic National University2Odesa Polytechnic National University2Odesa Polytechnic National UniversityIn connection with the increase in the number and severity of various types of bone tissue injuries received as a result of wounds during military operations in Ukraine, an important issue in orthopedics and traumatology is making informed decisions about the possibility of restoring the integrity and functions of bone tissue when using different types of composition, porosity and strength of apatite-biopolymer composites. The scientific direction of research is the development of principles and methods for making scientifically based decisions in the design and additive manufacturing of bone substitutes based on apatite-biopolymer composites with functional properties depending on the nature of the localization of the cavity bone defect and its size. A set of methods for analyzing images of bone tissue, taking into account its spatial structure, which are obtained by sensors of different physical nature, with the use of neural network models, development of methods of their design, optimization and training is proposed. The new knowledge obtained as a result of the project will become the necessary basis for making optimal decisions in practice for the introduction of the latest methods of treatment and prosthetics in trauma surgery, oncology, cranio-maxillofacial surgery, dentistry, taking into account the risks of biocompatibility of apatite-biopolymer composites. Software development of an intelligent decision support system will be used to design bone substitutes with controlled composition, structure, porosity and mechanical strength for the further selection of additive technology for its production from apatite-polymer composites, which will contribute to increasing the efficiency of treatment and prosthetics in orthopedics and traumatology.https://doi.org/10.2478/mspe-2024-0052deep learning-based neural network applicationapatite biopolymer composites3d printingtissue engineeringmedical devicesdrug deliverybone scaffoldsadditive manufacturing |
| spellingShingle | Panda Anton Dyadyura Kostiantyn Dmitrishin Dmitriy Smorodin Andrey Prokopovich Igor Decision Support System for the Design Process of Apatite Biopolymer Composite Parts Management Systems in Production Engineering deep learning-based neural network application apatite biopolymer composites 3d printing tissue engineering medical devices drug delivery bone scaffolds additive manufacturing |
| title | Decision Support System for the Design Process of Apatite Biopolymer Composite Parts |
| title_full | Decision Support System for the Design Process of Apatite Biopolymer Composite Parts |
| title_fullStr | Decision Support System for the Design Process of Apatite Biopolymer Composite Parts |
| title_full_unstemmed | Decision Support System for the Design Process of Apatite Biopolymer Composite Parts |
| title_short | Decision Support System for the Design Process of Apatite Biopolymer Composite Parts |
| title_sort | decision support system for the design process of apatite biopolymer composite parts |
| topic | deep learning-based neural network application apatite biopolymer composites 3d printing tissue engineering medical devices drug delivery bone scaffolds additive manufacturing |
| url | https://doi.org/10.2478/mspe-2024-0052 |
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