Conference Collaborations

The maternal-fetal dialogue: from mechanisms to pregnancy outcomes

Date: April 13-16, 2027 | Venue: EMBL Heidelberg and Virtual

This symposium examines how maternal-fetal interactions support healthy development or, when disrupted, contribute to pregnancy complications, bridging molecular mechanisms and clinical outcomes.
The emergence of stem-cell and organoid models of the embryo, placenta and endometrium, together with their integration with rapidly advancing transcriptomic, gene-editing and bioengineering technologies, is revealing previously inaccessible processes in human pregnancy. Cross-disciplinary dialogue can connect fundamental discoveries and open new directions in pregnancy research.
By bringing together researchers studying maternal-fetal interactions from molecular mechanisms to clinical outcomes, the symposium will connect perspectives, define key questions and promote collaborations.

Website:

https://www.embl.org/about/info/course-and-conference-office/events/EES27-01/?utm_source=scieExpress&utm_medium=mpreferral&utm_id=EES27-01

AI and biology

Date: May 11-14, 2027 | Venue: EMBL Heidelberg and Virtual

Artificial intelligence (AI) is transforming virtually all areas of science, and the life sciences are no exception. Stepping up the pace following the 2024 and 2026 meetings, this symposium already returns for the third time in 2027, maintaining the momentum amongst this engaged community of researchers to discuss the latest developments in the field both in person and online.
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 and biomedicine by exploring shared theoretical approaches, cross-domain experiments, foundation models, and data integration, as well as shared topics in dissemination of tools, agent-based workflows 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 developments are largely happening independently. The aim of our symposium is to convene these communities 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.
The onsite meeting will take a new, multi-track direction for the first day with selected workshops and tutorials. Days 2, 3 and 4 follow the hybrid symposium format, packed as before with invited and selected speakers and poster sessions.

Website:

https://www.embl.org/about/info/course-and-conference-office/events/EES27-12/?utm_source=scieExpress&utm_medium=mpreferral&utm_id=EES27-12#vf-tabs__section-overview