Open source models in the context of cancer refer to freely accessible, collaboratively developed computational tools and datasets that researchers use to study various aspects of cancer. These models can range from genomic databases to machine learning algorithms designed to predict cancer progression or treatment outcomes. They enable a broader scientific community to contribute to and benefit from advancements in cancer research without the limitations of proprietary software.
