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How 3D Printing Could Help to Regrow Teeth from the Root


How 3D Printing Could Help to Regrow Teeth from the Root
3D printing is a relatively new manufacturing process, used to create small batches of highly personalized items. The technology is also capable of creating products using biological material, which can be biocompatible with human patients. For this reason, 3D printing is used extensively in the medical field. In dentistry, this technology is typically used to replace damaged or lost teeth. Researchers at KU Leuven University, however, are now looking beyond replacement and towards regeneration and regrowth of damaged teeth, using 3D printing to restore the tooth’s root.
Researchers are looking at ways to restore teeth from the root via 3D printing. Image Credit: MarinaGrigorivna/Shutterstock.com ....

Marinagrigorivna Shutterstock , Terry Ventrejun , Technical University Of Munich , Elsevier Academic , Ku Leuven University , Computer Aided Design , Nasoalveolar Molding , Technical University , Cleaner Production , Researchers Take Step Closer , Printed Organs , New Cell Laden , 3d Printing , தொழில்நுட்ப பல்கலைக்கழகம் ஆஃப் முனிச் , கணினி உதவிபெற்ற வடிவமைப்பு , தொழில்நுட்ப பல்கலைக்கழகம் , கிளீனர் ப்ரொடக்ஶந் , ப்ரிஂடெட் ஆர்கந்ஸ் ,

Frontiers | Brain Differences Between Men and Women: Evidence From Deep Learning


2Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
3Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
Do men and women have different brains? Previous neuroimage studies sought to answer this question based on morphological difference between specific brain regions, reporting unfortunately conflicting results. In the present study, we aim to use a deep learning technique to address this challenge based on a large open-access, diffusion MRI database recorded from 1,065 young healthy subjects, including 490 men and 575 women healthy subjects. Different from commonly used 2D Convolutional Neural Network (CNN), we proposed a 3D CNN method with a newly designed structure including three hidden layers in cascade with a linear layer and a terminal Softmax layer. The proposed 3D CNN was applied to the maps of factional anisotropy (FA) in the whole-brain as ....

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