EMBO | EMBL Symposium: AI and biology

This conference will take place at EMBL Heidelberg, with the option to attend virtually.

Symposium Overview

Artificial intelligence (AI) is transforming virtually all areas of science, and the life sciences are no exception. AI-based methods are pushing the limits of what is possible in experimental design, data analysis, simulation, and modelling. The aim of this symposium is to catalyse synergistic interactions between AI researchers in different subfields of biology by exploring shared theoretical approaches, cross-domain experiments, and data integration, as well as shared topics in dissemination of tools and collaboration with experimental labs. Furthermore, we will look into the future and discuss how the concerted actions of AI and life science communities can enable both fields to exploit the full potential of the ongoing data deluge and find new application areas ripe for disruption by AI.

AI-based analytics is subject to active research in at least three major application areas: sequencing, imaging and structural biology. While all three domains are experiencing very fast growth, the development of AI-based analysis is largely happening independently. The aim of our symposium is to bring these communities together to discuss topics of mutual interest to make progress, including on the theoretical/methodological side and on the more strategic issues of identifying the next areas of high potential.

Session topics

• Challenging the state of the art
• Cross-domain, cross-modality learning
• Explainable AI and its role in science
• From algorithms to biology
• Connections to the wider AI field
• Generative modeling from drug design to synthetic images

Deadlines

DEC 5:       Abstract Submission
JAN 30:     Registration (On-site)

On-site Registration   |   Virtual Registration

#EESAIBio