FibreCastML: an open web platform for predicting electrospun nanofibre diameter distributions for biomedical applications
By shifting from mean-centric to distribution-aware modelling, this work establishes a new paradigm for electrospinning design. FibreCastML enables reproducible, sustainable, and data-driven optimisation of scaffold architecture, bridging experimental and computational domains. Openly available, it empowers laboratories worldwide to perform faster, greener, and more reproducible electrospinning research, advancing sustainable nanomanufacturing and biomedical innovation.
Authors
- Tasneem Sabir (ORCID: https://orcid.org/0000-0002-2778-4947)
- Reyhaneh Fatahian (ORCID: https://orcid.org/0000-0003-1925-6535)
- Kirstie Andrews (ORCID: https://orcid.org/0000-0002-0860-0604)
- Rasool Erfani (ORCID: https://orcid.org/0000-0002-4178-2542)
- Glen Cooper (ORCID: https://orcid.org/0000-0002-9568-8973)
- Neil D. Reeves
- Elisa Roldan
- Stephen M. Richardson
Institutions
- Manchester Metropolitan University (GB)
- Wellcome Centre for Cell-Matrix Research (GB)
- University of Manchester (GB)
- Lancaster University (GB)
Publication Details
- Journal
- Frontiers in Bioengineering and Biotechnology
- Published
- 2026-02-18
- DOI
- https://doi.org/10.3389/fbioe.2026.1713804
- Primary Topic
- Electrospun Nanofibers in Biomedical Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00