Biomedical systems biology workflow orchestration and execution with PoSyMed

PoSyMed is a new open-source platform designed to tackle fragmentation and reproducibility issues in biomedical software. It provides a modular architecture with containerized execution, formal tool descriptions, and a dialogue-based interface. Large language models (LLMs) are integrated as bounded assistants—they help identify tools, propose workflow steps, and support parameterization—but never act autonomously. All decisions remain human-supervised within a typed, validated environment. The platform supports persistent workflow state, enabling users to pause and resume analyses. PoSyMed is evaluated across representative biological software scenarios, showing improvements in workflow support, interaction design, and platform extensibility. The code is publicly available.

PoSyMed addresses a critical pain point: the growing complexity of bioinformatics tools with inconsistent documentation and dependencies. By enforcing container-based builds and formal descriptions, it ensures that workflows are reproducible and traceable. The LLM integration is deliberately constrained—it aids discovery and parameter selection without taking control. This design balances automation with human oversight, a key requirement in regulated biomedical research. PoSyMed's modularity also allows easy extension with new tools. For researchers, this means less time wrestling with dependencies and more time on analysis. The platform is already available for use and contribution on GitHub, with potential to become a standard for reproducible biomedical workflows.