Deep Learning in Bioengineering and Biofabrication: a novel approach that can possibly boost the translation of 3D Bioprinting to clinics?

Bioengineering have been revolutionizing the production of biofunctional tissues helping the world-wide healthcare systems. Bioengineers have focusing their research in the biofabrication, especially 3D bioprinting, providing cutting-edge approaches with more reliability and cost-effectiveness. 3D bioprinting is capable to engineer biomimetic patient-specific implants. However, these 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. This technology is capable to autonomously deal with massive datasets and produce valuable outputs. The synergy of deep learning and biofabrication have been used in the optimization of different printing stages. Here, we overview the use of deep learning in bioengineering and how this technology can help bring 3D bioprinting to the clinics.