Deep learning in bioengineering and biofabrication: a powerful technology boosting translation from research to clinics

João B. Costa, Joana Silva-Correia, Rui L. Reis, Joaquim M. Oliveira

Research output: Contribution to journalArticlepeer-review

Abstract

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.
Original languageEnglish
Pages (from-to)191–211
Number of pages21
JournalJournal of 3D Printing in Medicine
Volume5
Issue number4
DOIs
Publication statusPublished - Dec 2021
Externally publishedYes

Keywords

  • 3D bioprinting
  • Artificial intelligence
  • Bioengineering
  • Biofabrication
  • Deep learning

Fingerprint

Dive into the research topics of 'Deep learning in bioengineering and biofabrication: a powerful technology boosting translation from research to clinics'. Together they form a unique fingerprint.

Cite this