Bridging Boundaries: Innovating, Connecting and Reshaping Drug Repurposing
Join the first international drug repurposing conference, #iDR24, co-organised by REMEDi4ALL, Beacon and MeRIT on 6-7 March 2024 in Barcelona.
In this global event, key opinion leaders from both the research and patient communities, funders, regulators and representatives from the private sector will participate to collectively advance innovative drug repurposing in Europe and beyond.
Join us at Sant Pau Art Nouveau World Heritage Site Sant for #iDR24, uniting key players in drug repurposing. The conference showcases how patient communities, researchers, industry, and health authorities can benefit from cutting-edge drug repurposing. Explore cutting-edge insights, discuss challenges, and engage with experts!
The agenda follows 3 topical paths in parallel:
- Cancer path
- Rare diseases path
- Methodologies path
Event Summary:
- Date: 6-7 March 2024
- Location: Recinte Modernista de Sant Pau, Carrer Sant Antoni Maria Claret, 167, 08025 Barcelona, Spain
- Registration link: https://remedi4all.org/international-drug-repurposing-conference/
The REMEDi4ALL project kicks off with the ambition of establishing a European research and innovation eco-system that facilitates fast and cost-effective patient-centric development and access to repurposed medicines. Chemotargets will contribute to the development of the repurposing platform for the REMEDi4ALL project, using its technology platforms: ProSurfScan, for AI-based drug design; CLARITY, for efficacy and safety prediction of compounds, and CLARITY PV, for translational safety analysis of medicines.
Our platforms will contribute significantly to two of the main objectives of REMEDi4ALL:
- build a state-of-the-art platform to provide expertise and services across the complete value chain (scientific, methodological, financial, legal, regulatory, intellectual property) for patient-centric medicine repurposing at every development stage and in any disease area.
- assemble advanced in silico tools for Machine Learning (ML) and Artificial Intelligence (AI), open datasets and tools and expertise required to understand the mechanism of action of specific medicines.
