Editorial: Integrating computational modeling and organoid technology for enhanced biological research

García-Aznar, J. M. (Universidad de Zaragoza) ; McEvoy, E. ; Verbruggen, S. W. ; Van Liedekerke, P.

Resumen: Organoids are self-organized 3D cell-based in vitro models that replicate the key functional, structural and biological complexities of organs (Zhao et al., 2022). Depending on the application, organoids can be derived from either pluripotent or tissue-resident stem (embryonic or adult) or progenitor or differentiated cells from healthy or diseased tissues, such as tumors (Zhao et al., 2022; Kim et al., 2020). Therefore, organoid technology is a novel approach to study pathologies and their treatment, providing a personalized strategy. Despite their potential applicability, organoids exhibit a high level of complexity that requires advanced mathematical and computational models for comprehensive understanding, being mathematical and computational models an adequate strategy as it has been shown in recent works (Camacho-Gomez et al., 2023; McEvoy et al., 2020; Van Liedekerke et al., 2019)...

Idioma: Inglés

DOI: 10.3389/fbioe.2025.1670630

Año: 2025

Publicado en: Frontiers in Bioengineering and Biotechnology 13 (2025), 1670630 [2 pp.]
ISSN: 2296-4185

Tipo y forma: (Versión definitiva)

Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)