Machine Learning-Assisted FTIR Spectroscopy Analysis of Kidney Preservation Fluids for Delayed Graft Function Risk Stratification
: These findings support the feasibility of rapid, low-cost FTIR profiling of routinely available preservation fluid as a proof-of-concept approach for exploratory DGF risk stratification, rather than as a clinically deployable prediction tool. Given the small sample size and the instability of subgroup estimates, the main next steps are external validation in larger multicenter cohorts, prospective workflow studies, and model updating/recalibration.
Authors
- Miguel Bigotte Vieira (ORCID: https://orcid.org/0000-0003-0528-2716)
- Cristiana Teixeira
- Aníbal Ferreira (ORCID: https://orcid.org/0000-0002-3300-6033)
- Luís Ramalhete (ORCID: https://orcid.org/0000-0002-8911-3380)
- Sofia Carrelha
- Cecília R. C. Calado (ORCID: https://orcid.org/0000-0002-5264-9755)
- Ruben Araújo (ORCID: https://orcid.org/0000-0002-9369-6486)
- Emanuel Vigia (ORCID: https://orcid.org/0000-0002-4525-9062)
- Ana Pena
Institutions
- University of Lisbon (PT)
- Universidade Politécnica de Lisboa (PT)
- Lisbon School of Design (PT)
- Hospital Curry Cabral (PT)
- Institute for Biotechnology and Bioengineering (PT)
- Instituto Portugues do Sangue e da Transplantacao, IP (PT)
- Universidade Nova de Lisboa (PT)
Publication Details
- Journal
- Journal of Clinical Medicine
- Published
- 2026-04-06
- DOI
- https://doi.org/10.3390/jcm15072762
- Citations
- 1
- Primary Topic
- Renal Transplantation Outcomes and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 24.32