Damian, D. orcid.org/0000-0002-0595-0182, Price, K., Arabagi, S. et al. (14 more authors) (2018) In Vivo Tissue Regeneration with Robotic Implants. Science Robotics, 13 (14). eaaq0018.
Abstract
Robots that reside inside the body to restore or enhance biological function have long been a staple of science fiction. Creating such robotic implants poses challenges both in signaling between the implant and the biological host as well as in implant design. To investigate these challenges, we created a robotic implant to perform in vivo tissue regeneration via mechano-stimulation. The robot is designed to induce lengthening of tubular organs, such as the esophagus and intestines, by computer-controlled application of traction forces. Esophageal testing in swine demonstrates that the applied forces can induce cell proliferation and lengthening of the organ without a reduction in diameter, while the animal is awake, mobile and able to eat normally. Such robots can serve as research tools for studying mechanotransduction-based signaling and can also be employed clinically for conditions such as long-gap esophageal atresia and short bowel syndrome.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 American Association for the Advancement of Science. This is an author produced version of a paper subsequently published in Science Robotics. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 22 Jan 2018 11:07 |
Last Modified: | 10 Jul 2018 00:38 |
Published Version: | https://doi.org/10.1126/scirobotics.aaq0018 |
Status: | Published |
Publisher: | American Association for the Advancement of Science |
Refereed: | Yes |
Identification Number: | 10.1126/scirobotics.aaq0018 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:126447 |