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Roldan Ciudad, Elisa ORCID: https://orcid.org/0000-0002-7793-7542, Reeves, Neil D ORCID: https://orcid.org/0000-0001-9213-4580, Cooper, Glen ORCID: https://orcid.org/0000-0002-9568-8973 and Andrews, Kirstie ORCID: https://orcid.org/0000-0002-0860-0604 (2024) Machine learning to predict morphology, topography and mechanical properties of sustainable gelatin-based electrospun scaffolds. Scientific Reports, 14.

Roldan Ciudad, Elisa ORCID: https://orcid.org/0000-0002-7793-7542, Reeves, Neil D ORCID: https://orcid.org/0000-0001-9213-4580, Cooper, Glen ORCID: https://orcid.org/0000-0002-9568-8973 and Andrews, Kirstie ORCID: https://orcid.org/0000-0002-0860-0604 (2024) 2D and 3D PVA electrospun scaffold evaluation for ligament implant replacement: a mechanical testing, modelling and experimental biomechanics approach. Materialia, 33. ISSN 2589-1529

Roldan Ciudad, Elisa ORCID: https://orcid.org/0000-0002-7793-7542, Reeves, Neil D ORCID: https://orcid.org/0000-0001-9213-4580, Cooper, Glen and Andrews, Kirstie (2023) Can we achieve biomimetic electrospun scaffolds with gelatin alone? Frontiers in Bioengineering and Biotechnology, 11. p. 1160760. ISSN 2296-4185

Roldan Ciudad, Elisa ORCID: https://orcid.org/0000-0002-7793-7542, Reeves, Neil ORCID: https://orcid.org/0000-0001-9213-4580, Cooper, Glen and Andrews, Kirstie (2023) Towards the ideal vascular implant: Use of machine learning and statistical approaches to optimise manufacturing parameters. Frontiers in Physics, 11. p. 1112218. ISSN 2296-424X