Redefining biomaterial biocompatibility: challenges for artificial intelligence and text mining.

Journal: Trends in biotechnology
Published Date: Oct 17, 2023

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.

Authors

  • Miguel Mateu-Sanz
    Biomaterials, Biomechanics, and Tissue Engineering Group, Department of Materials Science and Engineering, Universitat Politècnica de Catalunya, Barcelona 08019, Spain.
  • Carla V Fuenteslópez
    Institute of Biomedical Engineering, Botnar Research Centre, Nuffield Orthopaedic Centre, University of Oxford, Oxford OX3 7LD, UK.
  • Juan Uribe-Gomez
    CÚRAM, SFI Research Centre for Medical Devices, University of Galway, Galway H92 W2TY, Ireland.
  • Håvard Jostein Haugen
    Department of Biomaterials, Center for Functional Tissue Reconstruction, Faculty of Dentistry, University of Oslo, Oslo 0317, Norway.
  • Abhay Pandit
    CÚRAM-Centre for Research in Medical Devices, National University of Ireland Galway, Galway, Ireland.
  • Maria-Pau Ginebra
    Biomaterials, Biomechanics, and Tissue Engineering Group, Department of Materials Science and Engineering, Universitat Politècnica de Catalunya, Barcelona 08019, Spain.
  • Osnat Hakimi
    aMoon Ventures, Yerushalaim Rd 34, Ra'anana 4350108, Israel.
  • Martin Krallinger
    Structural Computational Biology Group, Structural Biology and BioComputing Programme, Spanish National Cancer Research Centre, Madrid, Spain.
  • Athina Samara
    Department of Biomaterials, Center for Functional Tissue Reconstruction, Faculty of Dentistry, University of Oslo, Oslo 0317, Norway. Electronic address: athinas@uio.no.

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