Visual and Interactive AI Workflows (OrangeWeb) for Health and Biotechnology
Overview
OrangeWeb will be extended with components for biomedicine, enabling researchers, molecular biologists, and biotech practitioners to analyze gene expression data and integrate heterogeneous biomedical datasets through intuitive visual workflows. This facilitates data-driven insights into molecular mechanisms, disease pathways, and therapeutic targets. New OrangeWeb widgets and workflows are developed to address challenges in biomedicine, with a special focus on the integration of heterogeneous biomedical datasets and the analysis of high-throughput biomedical data, such as gene expression data. These widgets integrate seamlessly with existing OrangeWeb analysis and visualization tools, enabling complex biomedical workflows to be built and executed via a user-friendly visual programming interface. Components will be tested and validated in collaboration with domain experts to ensure usability and relevance for real-world research.
Outcome
Democratized access to diverse biomedical datasets and analytical tools enables more effective data-driven research in molecular biology and biotechnology. Reusable, domain-specific components simplify workflow construction, accelerate biomedical discovery, and promote reproducible and transparent analyses, facilitating robust decision-making in research and applied biotechnology.
Service Card
| Category | AI development and deployment |
| Domain | Biomedicine, Gene Expression Analysis, Visual Programming |
| Vertical | Health and Biotechnology |
| Target users | SMEs, Startups, Industrial R&D |
| Service type | Pipeline |
| Outputs | Workflows, models, explanations, visualizations. |
| Requirements | Requires an NVIDIA GPU node for the computation of the back-end and a database node for workflow persistence. |
| Limitations | |
| Availability | Q3/2027 |
| Licensing | GPL3 |
| Visual content | |
| Visual caption |