Overview

• The plain-language hypothesis grammar lets scientists define cell behaviors in simple English via spreadsheet, lowering coding barriers to multicellular modeling.
• Public release on July 28 follows the study’s July 25 publication in Cell and includes demonstrations in breast and pancreatic tumor simulations and cortical layer formation.
• The open-source framework integrates patient genomics to create digital twins that predict individual tumor-immune interactions and inform precision oncology treatment planning.
• Free availability aims to standardize multicellular system models and promote collaboration among computational engineers, biologists and clinicians across institutions.
• Teams are now advancing AI-driven model automation, expanding data integration and developing virtual trial platforms to streamline in silico testing of therapies.