Artificial Intelligence and Machine Learning in Life Science: from foundations to applications

ELIXIR course: Artificial Intelligence and Machine Learning in Life Sciences” provides researchers with the conceptual foundations and practical skills needed tu use AI and ML methods appropriately, critically, and reproducibly in life-science research. If you plan to analyse complex biological datasets or incorporate AI-based approaches into your work, this course may be for you.

Artificial Intelligence (AI) and Machine Learning (ML) are rapidly transforming life sciences, enabling new approaches to the analysis, interpretation, and integration of increasingly large and complex biological datasets. To fully benefit from these advances, researchers need both a solid understanding of AI/ML methods and awareness of their limitations, best practices, and regulatory frameworks.

This five-day, hands-on training course will guide participants from the foundations of machine learning through deep learning, foundation models, and generative AI, while also covering reproducibility, the DOME recommendations, and the EU AI Act.

Building on the success of the first edition, this second ELIXIR Summer School on Artificial Intelligence and Machine Learning in Life Sciences will bring together AI/ML experts from five ELIXIR Nodes and 25 participants from across the ELIXIR community, fostering knowledge exchange, collaboration, and the responsible adoption of AI in life sciences.