TY - JOUR
T1 - Deep learning in bioengineering and biofabrication
T2 - a powerful technology boosting translation from research to clinics
AU - Costa, João B.
AU - Silva-Correia, Joana
AU - Reis, Rui L.
AU - Oliveira, Joaquim M.
N1 - Publisher Copyright:
© 2021 Future Medicine Ltd.
PY - 2021/12
Y1 - 2021/12
N2 - 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.
AB - 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.
KW - 3D bioprinting
KW - Artificial intelligence
KW - Bioengineering
KW - Biofabrication
KW - Deep learning
UR - http://www.scopus.com/inward/record.url?scp=85129063808&partnerID=8YFLogxK
U2 - 10.2217/3dp-2021-0007
DO - 10.2217/3dp-2021-0007
M3 - Review article
SN - 2059-4755
VL - 5
SP - 191
EP - 211
JO - Journal of 3D Printing in Medicine
JF - Journal of 3D Printing in Medicine
IS - 4
ER -