학술논문
Redefining biomaterial biocompatibility: challenges for artificial intelligence and text mining.
Document Type
Academic Journal
Author
Mateu-Sanz M; Biomaterials, Biomechanics, and Tissue Engineering Group, Department of Materials Science and Engineering, Universitat Politècnica de Catalunya, Barcelona 08019, Spain.; Fuenteslópez CV; Institute of Biomedical Engineering, Botnar Research Centre, Nuffield Orthopaedic Centre, University of Oxford, Oxford OX3 7LD, UK.; Uribe-Gomez J; CÚRAM, SFI Research Centre for Medical Devices, University of Galway, Galway H92 W2TY, Ireland.; Haugen HJ; Department of Biomaterials, Center for Functional Tissue Reconstruction, Faculty of Dentistry, University of Oslo, Oslo 0317, Norway.; Pandit A; CÚRAM, SFI Research Centre for Medical Devices, University of Galway, Galway H92 W2TY, Ireland.; Ginebra MP; Biomaterials, Biomechanics, and Tissue Engineering Group, Department of Materials Science and Engineering, Universitat Politècnica de Catalunya, Barcelona 08019, Spain.; Hakimi O; aMoon Ventures, Yerushalaim Rd 34, Ra'anana 4350108, Israel.; Krallinger M; Barcelona Supercomputing Center, Barcelona 08034, Spain.; Samara A; Department of Biomaterials, Center for Functional Tissue Reconstruction, Faculty of Dentistry, University of Oslo, Oslo 0317, Norway. Electronic address: athinas@uio.no.
Source
Publisher: Elsevier Science Publishers Country of Publication: England NLM ID: 8310903 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-3096 (Electronic) Linking ISSN: 01677799 NLM ISO Abbreviation: Trends Biotechnol Subsets: MEDLINE
Subject
Language
English
Abstract
The surge in 'Big data' has significantly influenced biomaterials research and development, with vast data volumes emerging from clinical trials, scientific literature, electronic health records, and other sources. Biocompatibility is essential in developing safe medical devices and biomaterials to perform as intended without provoking adverse reactions. Therefore, establishing an artificial intelligence (AI)-driven biocompatibility definition has become decisive for automating data extraction and profiling safety effectiveness. This definition should both reflect the attributes related to biocompatibility and be compatible with computational data-mining methods. Here, we discuss the need for a comprehensive and contemporary definition of biocompatibility and the challenges in developing one. We also identify the key elements that comprise biocompatibility, and propose an integrated biocompatibility definition that enables data-mining approaches.
Competing Interests: Declaration of Interests The authors declare no conflicts of interest.
(Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Competing Interests: Declaration of Interests The authors declare no conflicts of interest.
(Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)