Evolvoid: a genetic algorithm for shaping optimal cellular constructs

Evolvoid is modular, scalable, and tunable to different construct sizes, cell types, or culture conditions, and thus provides a versatile platform for designing and optimizing 3D cellular models entirely in silico. It offers a foundation for developing high-fidelity, cost-effective digital shape twins of biological systems, supporting the advancement of lab-on-a-laptop technologies and new approach methodologies, thereby reducing the reliance on in vitro and animal models.

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Publication Details

Journal
Journal of Biological Engineering
Published
2026-02-27
DOI
https://doi.org/10.1186/s13036-026-00642-z
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

Evolvoid: a genetic algorithm for shaping optimal cellular constructs

Chiara Magliaro, Ermes Botte, Flavio Fontana, Arti Ahluwalia et al.
Journal of Biological Engineering
Topology Optimization in Engineering
article

Evolvoid: a genetic algorithm for shaping optimal cellular constructs

Chiara Magliaro, Ermes Botte, Flavio Fontana, Arti Ahluwalia, Francesco Pampaloni, Piera Mancini
article en

Abstract

Evolvoid is modular, scalable, and tunable to different construct sizes, cell types, or culture conditions, and thus provides a versatile platform for designing and optimizing 3D cellular models entirely in silico. It offers a foundation for developing high-fidelity, cost-effective digital shape twins of biological systems, supporting the advancement of lab-on-a-laptop technologies and new approach methodologies, thereby reducing the reliance on in vitro and animal models.

Journal of Biological Engineering
University of Pisa (IT), Goethe University Frankfurt (DE), Piaggio (Italy) (IT), Frankfurt Institute for Advanced Studies (DE)
Openalex Percentile: Top 42%
Topology Optimization in Engineering
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