Items where Author is "Andrews, Kirstie"

Article

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 ORCID: https://orcid.org/0000-0002-0860-0604 (2025) Optimising the manufacturing of electrospun nanofibrous structures for textile applications: a machine learning approach. The Journal of The Textile Institute. pp. 1-12. ISSN 0040-5000

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.

Roldán, 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 (2024) Machine learning to mechanically assess 2D and 3D biomimetic electrospun scaffolds for tissue engineering applications: between the predictability and the interpretability. Journal of the Mechanical Behavior of Biomedical Materials, 157. ISSN 1751-6161

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