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Tumor digital twins took months to build—AI now drafts them in minutes

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Tumor digital twins took months to build—AI now drafts them in minutes

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Until now, building a digital model of a tumor required scientists to review extensive literature, train in specialized software and master multiple programming languages. From start to finish, the process often took months, if not years, of specialized work.

The Barcelona Supercomputing Center—Centro Nacional de Supercomputación (BSC-CNS) took a pioneering step in applying artificial intelligence to biology by developing technology that connects AI agents with specialized tools, enabling researchers to create digital tumor models in minutes without coding expertise.

Published in the group journal npj Systems Biology and Applications, the study describes the development of specialized tools (MCP servers) designed to enable existing AI agents to act as intermediaries between researchers and advanced modeling tools such as NeKo, MaBoSS and PhysiCell.

Instead of sifting through extensive documentation, writing code and juggling multiple programs, researchers can now build models by describing the biological problem they wish to explore in a simple conversation with an AI agent equipped with these new capabilities.

"With this advance, we completely broke down the barriers separating experimental biologists from advanced modeling tools. Now, any researcher can create complex biological models simply by conversing with an AI agent that we have equipped with these new features. It is very similar to using ChatGPT; you do not need to write a single line of code," explained Marco Ruscone, BSC researcher and first author of the paper.


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