Tumor digital twins took months to build-AI now drafts them in minutes
Researchers at the Barcelona Supercomputing Center have developed AI-driven tools that allow biologists to create complex 3D digital tumor models in minutes. By using natural language to interact with AI agents, scientists can bypass the need for extensive coding or specialized software training.
Why it matters
This technology significantly lowers the barrier to entry for advanced biological modeling, potentially accelerating cancer research and personalized medicine development.
edited by Gaby Clark , reviewed by Robert Egan
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Add as preferred source Visualization of a 3D tumor model. Credit: BSC Data Analytics and Visualization Group 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.
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