BIAS in Imaging Core Facility: Management and Operations of BIAS - Past, Present and Future
This session explores the evolving role of imaging core facilities as strategic hubs for bioimage analysis, identifying best practices, community needs, and a shared vision for the next generation of BIAS support.
AI foundation models in BioImage Analysis (invited speaker: Tinying Peng)
This session explores how foundation models and vision–language models are transforming bioimage analysis by enabling AI to generalize across assays, imaging modalities, and biological questions, while highlighting the latest advances and practical applications. It also brings the community together to identify key challenges and priorities—including data, benchmarking, interpretability, generalization, and workflow integration—that will shape the future of AI-driven bioimage analysis.
This session will consist of invited talks and selected talks, a panel discussion and poster presentations.
AI Agents in BioImage Analysis (invited speaker: Wei Ouyang)
This session looks at how AI agents are transforming bioimage analysis by automating complex workflows, improving accessibility and reproducibility, and showcasing emerging agent-based systems through real-world examples and live demonstrations. It also examines the broader impact of AI agents on training, knowledge transfer, and the future evolution of bioimage analysis workflows, education, and evaluation.
This session will combine talks with demonstrations.
BIAS Meets Bioinformatics: The Rise of Multimodal Analysis in Spatial Biology (invited spaker: Leeat Keren)
This session investigates how bioimage analysis is converging with bioinformatics through multimodal data integration, with a focus on spatial biology and its ability to combine imaging with molecular profiling. It highlights emerging methods, key challenges, and the interdisciplinary skills needed to drive the next generation of biomedical discovery.
This session will consist of selected talks and demonstration of tools.
BIAS Curriculum for 2030: Current Standards, Experience and the Future (with the Help of AI)
Bioimage analysis training is entering a new era, driven by AI, LLMs, intelligent agents, and emerging approaches that are transforming both the skills we need and how we learn them. This session brings together educators and community leaders to reimagine BIAS curricula, exploring AI as both a core competency and a powerful teaching partner. Together, we will shape a bold roadmap for BIAS education by 2030, ensuring the community is ready for the next generation of scientific discovery.
The session will include an update from the training and eduction work group of GloBIAS, a report on the project run together with the carpentries and a panel discussion.
Benchmarking Tribes: Establish Community Working Groups for the Next-Generation of BIAS Evaluation (invited speaker: Katia Cortese)
This session will redefine how benchmarking is approached in the age of AI, shifting the focus from evaluating individual tools to assessing the scientific validity, reproducibility, and outcomes of AI-driven workflows. Through interactive working groups, participants will tackle key benchmarking challenges and develop concrete ideas for new standards, datasets, and validation strategies. The goal is to spark lasting community collaborations that shape the next generation of benchmarking in bioimage analysis.
This session will be a mix of group discussion, building working groups and working group presentations.
