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The future of bone regeneration: integrating AI into tissue engineering

The future of bone regeneration: integrating AI into tissue engineering
The future of bone regeneration: integrating AI into tissue engineering
Tissue engineering is a branch of regenerative medicine that harnesses biomaterial and stem cell research to utilise the body’s natural healing responses to regenerate tissue and organs. There remain many unanswered questions in tissue engineering, with optimal biomaterial designs still to be developed and a lack of adequate stem cell knowledge limiting successful application. Advances in artificial intelligence (AI), and deep learning specifically, offer the potential to improve both scientific understanding and clinical outcomes in regenerative medicine. With enhanced perception of how to integrate artificial intelligence into current research and clinical practice, AI offers an invaluable tool to improve patient outcome
Artificial Intelligence, Tissue Engineering, regenerative medicine, stem cells, Biomaterials, Machine Learning, Deep Learning
MacKay, Benita, Scout
318d298f-5b38-43d7-b30d-8cd07f69acd4
Marshall, Karen, Margaret
11dd3dfd-1646-49c3-92e0-2cb5d04726b0
Grant-Jacob, James
c5d144d8-3c43-4195-8e80-edd96bfda91b
Kanczler, Janos
eb8db9ff-a038-475f-9030-48eef2b0559c
Eason, Robert W.
e38684c3-d18c-41b9-a4aa-def67283b020
Oreffo, Richard
ff9fff72-6855-4d0f-bfb2-311d0e8f3778
Mills, Benjamin
05f1886e-96ef-420f-b856-4115f4ab36d0
MacKay, Benita, Scout
318d298f-5b38-43d7-b30d-8cd07f69acd4
Marshall, Karen, Margaret
11dd3dfd-1646-49c3-92e0-2cb5d04726b0
Grant-Jacob, James
c5d144d8-3c43-4195-8e80-edd96bfda91b
Kanczler, Janos
eb8db9ff-a038-475f-9030-48eef2b0559c
Eason, Robert W.
e38684c3-d18c-41b9-a4aa-def67283b020
Oreffo, Richard
ff9fff72-6855-4d0f-bfb2-311d0e8f3778
Mills, Benjamin
05f1886e-96ef-420f-b856-4115f4ab36d0

MacKay, Benita, Scout, Marshall, Karen, Margaret, Grant-Jacob, James, Kanczler, Janos, Eason, Robert W., Oreffo, Richard and Mills, Benjamin (2021) The future of bone regeneration: integrating AI into tissue engineering. Biomedical Physics & Engineering Express, 7 (5), [052002]. (doi:10.1088/2057-1976/ac154f).

Record type: Article

Abstract

Tissue engineering is a branch of regenerative medicine that harnesses biomaterial and stem cell research to utilise the body’s natural healing responses to regenerate tissue and organs. There remain many unanswered questions in tissue engineering, with optimal biomaterial designs still to be developed and a lack of adequate stem cell knowledge limiting successful application. Advances in artificial intelligence (AI), and deep learning specifically, offer the potential to improve both scientific understanding and clinical outcomes in regenerative medicine. With enhanced perception of how to integrate artificial intelligence into current research and clinical practice, AI offers an invaluable tool to improve patient outcome

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More information

Accepted/In Press date: 16 July 2021
e-pub ahead of print date: 16 July 2021
Published date: 30 July 2021
Keywords: Artificial Intelligence, Tissue Engineering, regenerative medicine, stem cells, Biomaterials, Machine Learning, Deep Learning

Identifiers

Local EPrints ID: 450431
URI: http://eprints.soton.ac.uk/id/eprint/450431
PURE UUID: 9ed1d1bd-5f47-4154-b0c3-d358eba693fa
ORCID for Benita, Scout MacKay: ORCID iD orcid.org/0000-0003-2050-8912
ORCID for James Grant-Jacob: ORCID iD orcid.org/0000-0002-4270-4247
ORCID for Janos Kanczler: ORCID iD orcid.org/0000-0001-7249-0414
ORCID for Robert W. Eason: ORCID iD orcid.org/0000-0001-9704-2204
ORCID for Richard Oreffo: ORCID iD orcid.org/0000-0001-5995-6726
ORCID for Benjamin Mills: ORCID iD orcid.org/0000-0002-1784-1012

Catalogue record

Date deposited: 28 Jul 2021 16:30
Last modified: 03 Aug 2021 01:54

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Contributors

Author: Karen, Margaret Marshall
Author: Janos Kanczler ORCID iD
Author: Robert W. Eason ORCID iD
Author: Richard Oreffo ORCID iD
Author: Benjamin Mills ORCID iD

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