Project cooperationUpdated on 12 December 2025
Integrating RNA-seq and Mechanistically Interpretable Machine Learning for Toxicity Prediction
Professor at Ghent University
Ghent, Belgium
About
In the context of New Approach Methodologies (NAMs), our expertise lies in interpretable machine-learning frameworks that integrate chemical structure information with RNA-seq–based transcriptomic dose–response data to predict biological activity in a mechanistically transparent manner.
Topic
- DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
- DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-06: Support to European Research Area (ERA) action on accelerating New Approach Methodologies (NAMs) to advance biomedical research and testing of medicinal products and medical devices
Type
- Partner seeks Consortium/Coordinator
Organisation
Similar opportunities
Project cooperation
Thermal proteome profiling as a human-relevant mechanistic NAM
- Partner seeks Consortium/Coordinator
- DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
Susana Cristobal
Professor at Linköping University
Linköping, Sweden
Project cooperation
Expertise in Human-Relevant NAMs and Advanced Safety Assessment
- Partner seeks Consortium/Coordinator
- DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
Laura Gómez Cuadrado
Head of Biomedicine and Cellular Toxicology at University of Burgos
Burgos, Spain
Project cooperation
- Partner seeks Consortium/Coordinator
- DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
Mark Davison
Research and Innovation Projects Coordinator - EC at Technion Israel Institute of Technology
Haifa, Israel