Artificial Intelligence (AI) is revolutionising life science research in many ways. From drug discovery and development, and personalised medicine to genomics and DNA sequencing, and biotechnology and bioinformatics, AI has the ability to help research instututions and universities across the world in many areas including the analysis of vast amounts of scientific literature and data as well as identifying repurposing opportunities for existing drugs. AI in life sciences will no doubt continue to evolve and enhance our research across all sectors including life science, biotech, environment, food and agriculture.
The inaugural symposium held by EMBO/EMBL is a positive step forward in bringing together experts from across many fields to share our common understanding and knowledge of AI.
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.
For more information, please view the symposium page.
Tel: | 00 44 (0) 1485 609069 |
Email: | info@formedium.com sales@formedium.com |
Emergency Tel: | 00 44 (0) 7734 919789 |