A software to model tumor dynamics

A research team has developed a powerful software that  simulates cancer cell behavior, enabling scientists to model tumor growth, immune responses, and treatment outcomes in a virtual setting.

Published in Cell, the study combines genomic data with advanced computational modeling to forecast how cancer and immune cells interact and evolve, providing researchers with a powerful, computer-based tool to explore treatment options alongside lab models and clinical trials, without the cost or risk to patients.

The study describes the behavior hypothesis grammar, offers a reference implementation, and demonstrates its use in developing both de novo mechanistic models and those informed by multi-omics data. 

The authors demonstrate its potential through examples in cancer and its broader applicability in simulating brain development. 

“Breast cancer is notoriously difficult to treat,” said the author. “By modeling how immune cells like macrophages impact tumor growth, we can better predict which treatment combinations may be most effective.”

Another author said: “This project embodies our mission—bringing together scientific minds across disciplines to accelerate the discovery of better treatments and cures. Computational modeling is a powerful addition to the cancer research toolbox.”

https://www.cell.com/cell/fulltext/S0092-8674(25)00750-0

https://sciencemission.com/Human-interpretable-grammar-encodes