Project cooperationUpdated on 19 January 2026
In silico combinatorial therapy ranking
Tenured professor at Computational Systems Biology team, Rīga Stradiņš University
Riga, Latvia
About
Having a genome-scale metabolic model it becomes possible to look for drugs or their combinations that disable metabolic strategies of ill tissues having less harm to healthy tissues.
Drug combinations can be ranked according to a multifactorial criterion affected by factors like 1) number of drugs in the combination, 2) expected toxicity, 3) costs and other relevant parameters depending on the application.
Organisation
Similar opportunities
Project cooperation
Multi-omics integration in genome-scale metabolic models
Egils Stalidzans
Tenured professor at Computational Systems Biology team, Rīga Stradiņš University
Riga, Latvia
Project cooperation
Translational Research Platform based on human tissues and primary cells
- Partner seeks Consortium/Coordinator
- 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
Stefano Palea
Chief Executive Officer at Humana Biosciences
31670 - LABEGE, France
Project cooperation
AI-Driven Microfluidic 3D In Vitro Platform for Multi-Tissue Crosstalk in Drug Testing
- DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
MARCO BERZANO
Research Manager and Advisor - Head of Medical Area at Università Politecnica delle Marche
Ancona, Italy