PreprintAll rights reservedbioRxiv
Data-driven predictive design of engineered living hydrogels
- 1INM - Leibniz Institute for New Materials
Related
- Xolographic printing of cell-dense engineered living matter via iodixanol-driven enhancement of type II photoinitiation
- Fiber alignment alone is insufficient to predict cellular contact guidance responses in engineered 3D collagen hydrogels
- Engineered living materials suppress uropathogenic E. coli growth and invasion of urothelial cells through sustained probiotic release
- In situ enhancement of coral larval settlement using acoustic enrichment, engineered habitats and living materials
- Plant cell-based 4D engineered living materials
BibTeX
@misc{munozguamuro2026datadriven,
title = {{Data-driven predictive design of engineered living hydrogels}},
author = {G. Munoz-Guamuro and P. Goodarzi and S. Reihani and R. Bennewitz and V. Zaverkin and W. Weber},
howpublished = {bioRxiv},
year = {2026},
month = sep,
doi = {10.64898/2026.09.17.752317},
url = {https://www.biorxiv.org/content/10.64898/2026.09.17.752317v1},
}
RIS
TY - UNPB
TI - Data-driven predictive design of engineered living hydrogels
AU - G. Munoz-Guamuro
AU - P. Goodarzi
AU - S. Reihani
AU - R. Bennewitz
AU - V. Zaverkin
AU - W. Weber
PY - 2026
DA - 2026/09/17
PB - bioRxiv
DO - 10.64898/2026.09.17.752317
UR - https://www.biorxiv.org/content/10.64898/2026.09.17.752317v1
ER -