Machine Learning-Enabled Prediction of 3D-Printed Microneedle Features
Microneedles introduced a novel injection alternative to conventional needles, offering a decreased administration pain and phobia along with more efficient transdermal and intradermal drug delivery/sample collecting. 3D printing methods have emerged for time- and cost-efficient manufacturing of microneedles. Tuning 3D printing parameters with artificial intelligence is an emerging multidisciplinary field for optimization of manufacturing biomedical devices. Herein, we presented an artificial intelligence framework to assess and predict 3D-printed microneedle features. The integration of artificial intelligence-enabled prediction with 3D-printed microneedles will facilitate the development of new healthcare systems and advancement of their biomedical applications.