生物工程和生物制造中的深度学习:一项促进从研究到临床转化的强大技术

João B Costa, J. Silva-Correia, R. Reis, J. Oliveira
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引用次数: 1

摘要

生物工程已经彻底改变了生物功能组织的生产,以解决未满足的临床需求。生物工程师一直致力于研究生物制造,特别是3D生物打印,提供更可靠和更具成本效益的尖端方法和仿生解决方案。然而,这些新兴技术离临床环境还很远,深度学习作为人工智能的一个子集,可以广泛探索以缩小这一差距。因此,深度学习技术能够自主处理大量数据集并产生有价值的输出。本文概述了深度学习在生物工程中的应用,以及该技术与生物制造的协同作用如何帮助(更有效地)将3D生物打印带到诊所。
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Deep learning in bioengineering and biofabrication: a powerful technology boosting translation from research to clinics
Bioengineering has been revolutionizing the production of biofunctional tissues for tackling unmet clinical needs. Bioengineers have been focusing their research in biofabrication, especially 3D bioprinting, providing cutting-edge approaches and biomimetic solutions with more reliability and cost–effectiveness. However, these emerging technologies are still far from the clinical setting and deep learning, as a subset of artificial intelligence, can be widely explored to close this gap. Thus, deep-learning technology is capable to autonomously deal with massive datasets and produce valuable outputs. The application of deep learning in bioengineering and how the synergy of this technology with biofabrication can help (more efficiently) bring 3D bioprinting to clinics, are overviewed herein.
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