Computational intelligence based design of biomaterials

Arulraj, Vinoth; Datta, Someswar

doi:10.7494/cmms.2022.4.0799

Cited by 4 publications

References 158 publications

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Recent regulatory developments in EU Medical Device Regulation and their impact on biomaterials translation

Jurczak,

van der Boon,

Devia‐Rodriguez

et al. 2024

Bioengineering & Transla Med

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We envision this work to assist researchers and medical device developers (beside other stakeholders) to better understand biomaterial‐based medical device development and its approval process proposed by the new MDR and IVDR in the European Union, as more complex biomaterials emerge, with the MDR reflecting the progress in biomaterial discoveries. Additionally, insufficient international harmonization in regulatory laws and poor‐quality data reporting contribute to the problem. This review describes the possible reasons for a slowing biomaterials translational trend observed over the past decades, focusing on the European Market, and suggests a feasible approach for biomaterials‐based medical device translation into the clinic. Suitable solutions to upgrade biomaterial translation to the clinic have not yet been provided by the field: no additional hurdles should be imposed for researchers, clinicians, the medical device industry, and insurance companies, which all should collaborate on bringing innovative solutions to patients. The new MDR and IVDR represent a substantial advancement in ensuring patient safety and reflect a major step forward in healthcare. However, they should not constrain innovation in biomaterials‐based medical device development. Incorporating reverse engineering from patient safety and a ‘safe by design’ (SbD) strategy early into medical device development might lead to a smoother and successful approval process. A solid R&D phase, with an emphasis on device safety and performance assessment, is fundamental to ensure an effective transition into the clinic. We offer an overview of the recently implemented regulations on medical devices and in vitro diagnostics across the EU, describing a shifting paradigm in the field of biomaterials discovery. As more complex biomaterials emerge, suitable regulations will be necessary to keep bringing safe and well‐performing medical solutions to patients.

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Recent regulatory developments in EU Medical Device Regulation and their impact on biomaterials translation

Jurczak,

van der Boon,

Devia‐Rodriguez

et al. 2024

Bioengineering & Transla Med

View full text Add to dashboard Cite

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Artificial Intelligence - Insights into the Mechanics of Biomaterials: Predicting the Compressive Load of Composite Sandwich Structures

Sheini Dashtgoli,

Taghizadeh,

Macconi

et al. 2024

Lecture Notes in Networks and Systems

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Review on machine learning application in tissue engineering: What has been done so far? Application areas, challenges, and perspectives

Jeznach,

Tabakoglu,

Zaszczyńska

et al. 2024

J Mater Sci

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Artificial intelligence and machine learning (ML) approaches have recently been getting much of researchers’ attention. The growing interest in these methods results from the fast development of machine learning algorithms in the last few years, especially artificial neural networks. In this review, we pay attention to the need and benefits that ML approaches can bring to tissue engineering (TE). We critically evaluate the possibilities of using the ML approaches in the tissue engineering field. We consider various paths of its utility in the TE, such as scaffold design, predicting the biological response to the scaffold, optimizing drug delivery approaches, supporting image analysis, and modeling scaffold in vivo performance. The current status of ML implementation is presented and supported by many study examples. On the other hand, we analyze the present difficulties and challenges in implementing ML approaches to tissue engineering, including the quality of published data, databases and repositories availability, the need for experiment and results publishing standardization, and ethical issues. Additionally, we assess the available natural language processing tools that could support TE research. Graphical abstract

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Computational intelligence based design of biomaterials

Cited by 4 publications

References 158 publications

Recent regulatory developments in EU Medical Device Regulation and their impact on biomaterials translation

Recent regulatory developments in EU Medical Device Regulation and their impact on biomaterials translation

Artificial Intelligence - Insights into the Mechanics of Biomaterials: Predicting the Compressive Load of Composite Sandwich Structures

Review on machine learning application in tissue engineering: What has been done so far? Application areas, challenges, and perspectives

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