Open Biomedical Multimodal AI Research: From Pixels to Molecules

EMBC 2025 Workshop · Room B3 M7-8 · 2:30–6:30 PM · 16 July 2025 · Copenhagen, Denmark

The rapid expansion of biomedical data from diverse sources presents opportunities to advance healthcare and precision medicine through multimodal AI, which integrates information from multiple data modalities to improve predictive performance and understanding. Open, accessible, and reproducible tools enable the EMBS and wider community to build on state-of-the-art developments efficiently and accelerate innovation.

This workshop aims to equip participants with the skills and tools to address key challenges in multimodal AI, while promoting open research practices.

This workshop welcomes researchers and practitioners with basic Python programming experience. Familiarity with Google Colaboratory is recommended. To participate fully, please ensure the following:

We will conduct this workshop via a Jupyter Book at https://pykale.github.io/mmai-tutorials/, with four interactive tutorials.

Schedule

Chair: Peter Charlton, Co-Chair: Xianyuan Liu

Time    Event
14:30 - 14:35    Welcome
14:35 - 14:55    Opening talk: Towards Deployment-Centric Multimodal AIProf. Haiping Lu, The University of Sheffield
14:55 - 15:15    Introduction to the Tutorials
    Speakers:
15:15 - 15:25    Interactive Tutorial
15:25 - 16:25    Hands-on Session (Round 1)
16:25 - 16:35    Open Sharing and Discussion
16:35 - 17:35    Hands-on Session (Round 2)
17:35 - 17:50    Post-tutorial Discussion
17:50 - 18:00    Closing Remarks

Organising Committee

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Haiping Lu

Director of the UK Open Multimodal AI Network, Professor of Machine Learning & Head of AI Research Engineering, University of Sheffield

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Peter Charlton

Lead for Early Career Researchers at the UK Open Multimodal AI Network & Senior Research Scientist, Nokia Bell Labs

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Shuo Zhou

Lecturer in Machine Learning & Deputy Head of AI Research Engineering, University of Sheffield

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Tingting Zhu

Associate Professor in AI for Digital Health, University of Oxford

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Xianyuan Liu

Senior AI Research Engineer & Assistant Head of AI Research Engineering, University of Sheffield

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Zixuan (Kelly) Ding

PhD Candidate in Digital Health, Department of Public Health and Primary Care (PHPC), University of Cambridge

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Sina Tabakhi

PhD Candidate, School of Computer Science, University of Sheffield

Registration

This workshop will be held in person as part of the 2025 IEEE EMBC Conference, at 2:30 PM on 16th July 2025 in Room B3 M7-8 Bella Center in Copenhagen, Denmark.

To register for the workshop, please visit the EMBC 2025 website.