PreprintCC BY 4.0arXiv
Morpheus.AI: agents autonomously generate, execute and refine virtual tissue models
Abstract
Virtual tissue models link observations to mechanistic hypotheses, but building them demands expertise in biology, mathematics and programming. Here, large language model (LLM) agents paired with the simulator Morpheus (Morpheus.AI) autonomously built such models from fifteen benchmark studies, five without a published model. With a frontier LLM, agents that ran their simulations met 83-86% of study-specific criteria in under two hours and for under US$4 per model. Such agents could make in silico modeling routine.
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BibTeX
@misc{chandratre2026morpheusai,
title = {{Morpheus.AI: agents autonomously generate, execute and refine virtual tissue models}},
author = {Prerana Chandratre and Anjali Sharma and Justin Bürger Michaelis and Diego Jahn and Jörn Starruß and Lutz Brusch and Simon Syga},
howpublished = {arXiv},
year = {2026},
month = nov,
doi = {10.48550/arxiv.2611.05413},
eprint = {2611.05413},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2611.05413},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Morpheus.AI: agents autonomously generate, execute and refine virtual tissue models
AU - Prerana Chandratre
AU - Anjali Sharma
AU - Justin Bürger Michaelis
AU - Diego Jahn
AU - Jörn Starruß
AU - Lutz Brusch
AU - Simon Syga
PY - 2026
DA - 2026/11/01
PB - arXiv
DO - 10.48550/arxiv.2611.05413
UR - https://arxiv.org/abs/2611.05413
AB - Virtual tissue models link observations to mechanistic hypotheses, but building them demands expertise in biology, mathematics and programming. Here, large language model (LLM) agents paired with the simulator Morpheus (Morpheus.AI) autonomously built such models from fifteen benchmark studies, five without a published model. With a frontier LLM, agents that ran their simulations met 83-86% of study-specific criteria in under two hours and for under US$4 per model. Such agents could make in silico modeling routine.
ER -