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Title: The biometric shoe: could 3D printed footwear and machine learning theoretically reduce complications from diabetes?
Authors: Jones, P
Harrison, M
Davies, M
Khunti, K
McCarthy, M
Webb, D
Berrington, R
First Published: 17-Jun-2019
Publisher: Wounds Group, a division of Omnia-Med Ltd.
Citation: The Diabetic Foot Journal, 2019, 22(2), pp. 28-31. 4p.
Abstract: Recent advances in technology have given us 3D printed footwear for marathon runners, along with insoles capable of measuring in-shoe temperature and pressure. Custom 3D printed biometric footwear for those with diabetes and neuropathy therefore seems a natural development but has yet to emerge. The authors discuss both the feasibility of developing a 3D printed shoe incorporating sensors to provide real-time microclimate data and some of the practical problems that remain, including a brief outline of recent advances in this field.
ISSN: 1462-2041
Embargo on file until: 1-Jan-10000
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2019, Wounds Group, a division of Omnia-Med Ltd.. Deposited with reference to the publisher’s open access archiving policy. (
Description: The file associated with this record is under a permanent embargo in accordance with the publisher's policy. The full text may be available through the publisher links provided above.
Appears in Collections:Published Articles, Dept. of Cardiovascular Sciences

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