Designing cultured tissue moulds using evolutionary strategies

Fuente: arXiv
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Main Authors: Andrews, Allison E., Dickinson, Hugh, Hague, James P.
Format: Preprint
Published: 2025
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author Andrews, Allison E.
Dickinson, Hugh
Hague, James P.
author_facet Andrews, Allison E.
Dickinson, Hugh
Hague, James P.
contents There is an unmet need for artificial intelligence techniques that can speed up the design of growth strategies for cultured tissues. Cultured tissue is increasingly important for a range of applications such as cultivated meat, pharmaceutical assays and regenerative medicine. In this paper, we introduce a method based around evolutionary strategies, machine learning and biophysical simulations that can be used to speed up the process of identifying new tissue growth strategies for these diverse applications. We demonstrate the method by designing tethering strategies to grow tissues containing various cell types with desirable properties such as high cellular alignment and uniform density.
format Preprint
id arxiv_https___arxiv_org_abs_2508_00769
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Designing cultured tissue moulds using evolutionary strategies
Andrews, Allison E.
Dickinson, Hugh
Hague, James P.
Biological Physics
Tissues and Organs
There is an unmet need for artificial intelligence techniques that can speed up the design of growth strategies for cultured tissues. Cultured tissue is increasingly important for a range of applications such as cultivated meat, pharmaceutical assays and regenerative medicine. In this paper, we introduce a method based around evolutionary strategies, machine learning and biophysical simulations that can be used to speed up the process of identifying new tissue growth strategies for these diverse applications. We demonstrate the method by designing tethering strategies to grow tissues containing various cell types with desirable properties such as high cellular alignment and uniform density.
title Designing cultured tissue moulds using evolutionary strategies
topic Biological Physics
Tissues and Organs
url https://arxiv.org/abs/2508.00769