The Life Sciences Working Group explores how AI can accelerate research across genomics, biomedicine, biotechnology, systems biology, healthcare and environmental life sciences.
The group considers scientific opportunities alongside ethical, legal and societal considerations associated with sensitive biological and health data. By connecting researchers, infrastructures and AI experts, it supports the development of trustworthy, interoperable and reproducible AI approaches that improve scientific understanding while delivering tangible benefits for health, sustainability and society.
Supporting research in genomics, drug discovery, diagnostics and personalised medicine.
Balancing interoperability, privacy and ethical considerations.
Combining imaging, genomic, clinical and experimental datasets.
Developing transparent and reproducible AI systems for biomedical research.
RAISE FORUM enables structured discussion, consultation, and feedback within the Working Group.
It supports the exchange of perspectives on priorities, challenges, and opportunities in AI for science.
Selected experts contributing to the AI in Science Working Groups
Each Working Group brings together a selected group of experts contributing to the co-creation of the AI in Science Strategic Research and Innovation Agenda (SRIA). Members were appointed through an open call for expression of interest based on their expertise, experience, and ability to contribute to interdisciplinary collaboration across AI and scientific research domains.
Working Group Co-chair
Euro-BioImaging
Finland
Working Group Co-chair
Euro-BioImaging
Germany
INFN
Italy
Vrije Universiteit Brussel
Belgium
European Molecular Biology Laboratory
Germany
Maastricht University
Netherlands
University of Padova
Italy
VIB and KU Leuven
Belgium
Slovenian National Building and Civil Engineering Institute
Slovenia
University of Edinburgh
United Kingdom
Hasso Plattner Institute
Germany
Karolinska Institutet Centre for AI Innovation
Sweden
University of Rijeka
Croatia
BBMRI-ERIC
Czech Republic
Helmholtz Munich
Germany
University of Turin
Italy
Helmholz-Zentrum Dresden-Rossendorf
Germany
Berlin Institute of Health at Charité
Germany
BBMRI-ERIC
Austria
SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “AI in Life Sciences”, supporting the identification of strategic priorities for RAISE.