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AI deployment across the Life Science imaging workflow: Empowering European research and innovation


Event details

When
November 6, 2026 10:00–12:00 CEST
Where
Online

About the Event

Artificial Intelligence (AI) is rapidly transforming life science imaging, creating new opportunities across the entire research workflow, from access to imaging technologies and automated data acquisition to advanced image analysis, multimodal data integration, and AI-ready FAIR datasets.

This online event will showcase how European research infrastructures, projects, and scientific communities are deploying AI to accelerate biological and biomedical research. Through presentations from leading experts and representatives of major European initiatives, participants will gain insights into real-world applications of AI, emerging technologies, and future directions for AI-enabled imaging.

The event is organised by Euro-BioImaging ERIC as part of the European AI Innovation Month, running from the 24th of October to the 17th of November 2026.

Programme

Participants will discover how AI is being applied throughout the life science imaging pipeline. Together, these initiatives demonstrate how coordinated European investments in AI, data, and research infrastructures are accelerating scientific discovery and innovation.

Time
(CET)
Topic
10:00Welcome
10:10PLAN: Finding the right imaging solution with AI
10:25ACQUIRE: AI-powered microscopy and adaptive image acquisition
10:40ANALYSE: AI for image analysis: from images to biological insights
10:40Cancer Image Europe: AI for precision medicine
10:55Break
11:10AI models and FAIR data for biological imaging
11:40SHAPE: Policy for AI in science
11:55Closing

Registration

Please register by November 1st, 2026.

Contributing to Europe's AI Innovation Ecosystem

As a European Research Infrastructure Consortium (ERIC), Euro-BioImaging plays a key role in enabling access to advanced imaging technologies, data resources, and expertise across Europe.

This event contributes to the European AI Innovation Month by showcasing practical examples of AI development, deployment, and adoption in science. It highlights the importance of FAIR data, AI-ready research infrastructures, and collaborative European ecosystems that support responsible and impactful AI innovation.