From equations to agents: The artificial intelligence virtual cell reshaping precision oncology

The Artificial Intelligence Virtual Cell (AIVC) is an advanced computational tool that combines detailed cellular data from single-cell and spatial technologies, including gene expression, epigenetic changes, and cell characteristics, while incorporating fundamental physical and biological rules. This approach creates accurate digital twins of cells that can simulate how tumors develop, evolve, and change over time across multiple scales, from molecules to tissues. Unlike traditional models based on fixed equations that struggle with cancer's extreme complexity and diversity, AIVC learns patterns directly from large biological datasets using modern AI methods. It models cells as intelligent agents operating in a mathematical space and refines predictions through ongoing feedback. This enables patient-specific computer simulations of drug effects, genetic alterations, and tumor environment interactions, moving precision oncology toward truly personalized and dynamic treatment strategies. Despite challenges like incomplete datasets, validation needs, and high computing demands, AIVC is maturing into a valuable research partner and advancing toward clinical use, positioned to transform cancer care.