AI4Life and AI4EOSC join forces to facilitate AI model deployment for Bioimage Analysis
AI4Life and AI4EOSC started an effective collaboration at the AI4Life workshop in Madrid, where AI4EOSC members participated and introduced the AI4OS software stack and the AI platform, which enables training, deployment, sharing and monitoring of AI models. Building on this partnership, AI4EOSC has developed a tailored version of the AI platform specifically for AI4Life, enabling researchers to deploy and run AI models via the AI4Life Cloud Marketplace (Figure 1).
Figure 1. AI4Life Cloud Marketplace accessible at https://ai4life.cloud.ai4eosc.eu/marketplace
This new platform simplifies the process of launching AI models for bioimaging tasks by integrating with AI4EOSC’s computational infrastructure. Researchers can now take advantage of this scalable and user-friendly environment to run models from the BioImage Model Zoo, enhancing accessibility and reproducibility in bioimage analysis (Figures 2 and 3).
Figure 2. BioImage Model Zoo models imported to the AI4Life Cloud Marketplace
Figure 3. Example model from BioImage Model Zoo
Currently, the system supports models adhering to the v5 of the BioImage.IO specifications. This serves as a strong example of how FAIR, standardized models pave the way for interoperability, making resources more accessible across different platforms. The success of this integration was highlighted at the EOSC Winter School in Sevilla, where it was showcased as a model case for interoperability between research infrastructures.
For detailed guidance on deploying models via this platform, refer to the official AI4EOSC dashboard documentation:
https://docs.ai4eosc.eu/en/latest/howtos/deploy/external.html
This collaboration reinforces AI4Life’s mission to make AI-powered bioimage analysis more accessible, interoperable, and integrated into the European Open Science Cloud (EOSC). Stay tuned for further updates as we continue to advance AI capabilities for the bioimaging community!