HNN3.0

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

Ghent University

University

Ghent, Belgium

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