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Using Artificial Intelligence to Improve the Accuracy of a Wrist-Worn, Noninvasive Glucose Monitor: A Pilot Study
Muhammad Rafaqat Ali Qureshi ,
Steve Bain ,
Steve Luzio ,
Consuelo Handy ,
Daniel J. Fowles,
Bradley Love ,
Kathie Wareham,
Lucy Barlow,
Gareth Dunseath ,
Joel Crane,
Isamar Carrillo Masso,
Julia A. M. Ryan,
Mohamed Sabih Chaudhry
Journal of Diabetes Science and Technology
Swansea University Authors: Steve Bain , Steve Luzio , Kathie Wareham, Lucy Barlow, Gareth Dunseath , Joel Crane
DOI (Published version): 10.1177/19322968241252819
Abstract
Using Artificial Intelligence to Improve the Accuracy of a Wrist-Worn, Noninvasive Glucose Monitor: A Pilot Study
Published in: | Journal of Diabetes Science and Technology |
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ISSN: | 1932-2968 1932-2968 |
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SAGE Publications
2024
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URI: | https://cronfa.swan.ac.uk/Record/cronfa67315 |
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v2 67315 2024-08-05 Using Artificial Intelligence to Improve the Accuracy of a Wrist-Worn, Noninvasive Glucose Monitor: A Pilot Study 5399f4c6e6a70f3608a084ddb938511a 0000-0001-8519-4964 Steve Bain Steve Bain true false 01491e1cd582746a654fad9addf0de16 0000-0002-7206-6530 Steve Luzio Steve Luzio true false 241066f353fdbfd72eac1899d0ab3096 Kathie Wareham Kathie Wareham true false 13fef693b5ef2987f8a15a771e4634f7 Lucy Barlow Lucy Barlow true false fccbba9edcaee08a839a3c5cff8cbe19 0000-0001-6022-862X Gareth Dunseath Gareth Dunseath true false ff5229a9f7d114650a17cb7625ba5db3 Joel Crane Joel Crane true false 2024-08-05 MEDS Journal Article Journal of Diabetes Science and Technology 0 SAGE Publications 1932-2968 1932-2968 Blood glucose self-monitoring, diabetes mellitus, microwaves, noninvasive glucose monitoring, radio frequency, wearable electronic devices 17 5 2024 2024-05-17 10.1177/19322968241252819 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University Not Required This work was supported by the Welsh Government’s SMARTCymru program, backed by the EU’s European Regional Development Fund (grant no. 2019/ED/054). 2024-10-18T16:59:51.2835945 2024-08-05T10:57:41.8147627 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Muhammad Rafaqat Ali Qureshi 0000-0002-2971-6235 1 Steve Bain 0000-0001-8519-4964 2 Steve Luzio 0000-0002-7206-6530 3 Consuelo Handy 0000-0001-8888-8945 4 Daniel J. Fowles 5 Bradley Love 0000-0001-7528-3867 6 Kathie Wareham 7 Lucy Barlow 8 Gareth Dunseath 0000-0001-6022-862X 9 Joel Crane 10 Isamar Carrillo Masso 11 Julia A. M. Ryan 12 Mohamed Sabih Chaudhry 0000-0002-2568-8396 13 67315__31044__63da1556a19540a1836118fc123657c7.pdf qureshi-et-al-2024-using-artificial-intelligence-to-improve-the-accuracy-of-a-wrist-worn-noninvasive-glucose-monitor-a.pdf 2024-08-05T11:00:31.4359173 Output 598344 application/pdf Permanent restriction true 18/09/24 FW - Not for public release. false |
title |
Using Artificial Intelligence to Improve the Accuracy of a Wrist-Worn, Noninvasive Glucose Monitor: A Pilot Study |
spellingShingle |
Using Artificial Intelligence to Improve the Accuracy of a Wrist-Worn, Noninvasive Glucose Monitor: A Pilot Study Steve Bain Steve Luzio Kathie Wareham Lucy Barlow Gareth Dunseath Joel Crane |
title_short |
Using Artificial Intelligence to Improve the Accuracy of a Wrist-Worn, Noninvasive Glucose Monitor: A Pilot Study |
title_full |
Using Artificial Intelligence to Improve the Accuracy of a Wrist-Worn, Noninvasive Glucose Monitor: A Pilot Study |
title_fullStr |
Using Artificial Intelligence to Improve the Accuracy of a Wrist-Worn, Noninvasive Glucose Monitor: A Pilot Study |
title_full_unstemmed |
Using Artificial Intelligence to Improve the Accuracy of a Wrist-Worn, Noninvasive Glucose Monitor: A Pilot Study |
title_sort |
Using Artificial Intelligence to Improve the Accuracy of a Wrist-Worn, Noninvasive Glucose Monitor: A Pilot Study |
author_id_str_mv |
5399f4c6e6a70f3608a084ddb938511a 01491e1cd582746a654fad9addf0de16 241066f353fdbfd72eac1899d0ab3096 13fef693b5ef2987f8a15a771e4634f7 fccbba9edcaee08a839a3c5cff8cbe19 ff5229a9f7d114650a17cb7625ba5db3 |
author_id_fullname_str_mv |
5399f4c6e6a70f3608a084ddb938511a_***_Steve Bain 01491e1cd582746a654fad9addf0de16_***_Steve Luzio 241066f353fdbfd72eac1899d0ab3096_***_Kathie Wareham 13fef693b5ef2987f8a15a771e4634f7_***_Lucy Barlow fccbba9edcaee08a839a3c5cff8cbe19_***_Gareth Dunseath ff5229a9f7d114650a17cb7625ba5db3_***_Joel Crane |
author |
Steve Bain Steve Luzio Kathie Wareham Lucy Barlow Gareth Dunseath Joel Crane |
author2 |
Muhammad Rafaqat Ali Qureshi Steve Bain Steve Luzio Consuelo Handy Daniel J. Fowles Bradley Love Kathie Wareham Lucy Barlow Gareth Dunseath Joel Crane Isamar Carrillo Masso Julia A. M. Ryan Mohamed Sabih Chaudhry |
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Journal of Diabetes Science and Technology |
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2024 |
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Swansea University |
issn |
1932-2968 1932-2968 |
doi_str_mv |
10.1177/19322968241252819 |
publisher |
SAGE Publications |
college_str |
Faculty of Medicine, Health and Life Sciences |
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facultyofmedicinehealthandlifesciences |
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Faculty of Medicine, Health and Life Sciences |
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facultyofmedicinehealthandlifesciences |
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Faculty of Medicine, Health and Life Sciences |
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Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine |
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active_str |
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published_date |
2024-05-17T16:59:49Z |
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1813268072101838848 |
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11.03559 |