Inno4Vac proposes an ambitious programme that will harness the latest advances in immunology, disease modelling, and modelling for tackling persistent scientific bottlenecks in vaccine development and for de-risking and accelerating this process. To reach this aim the project is divided into four interlinked subtopics. In Subtopic 1, artificial intelligence in combination with big data analysis and computational modelling will be used to build an open-access and cloud-based platform for in silico vaccine efficacy assessment and development. Subtopic 2 will develop new and improved controlled human infection models (CHIM) against influenza, RSV and C. difficile that will enable early vaccine efficacy evaluation. Subtopic 3 will contribute to the development of cell-based human in vitro 3D models that resemble the in vivo situation of an infection at the mucosa and more reliably predict immune protection. These models will be combined with the development of related functional immune assays for clinically relevant (surrogate) endpoints. Finally, Subtopic 4 will develop a modular one-stop computational platform for in silico modelling of vaccine bio-manufacturing and stability testing.
In parallel to the scientific-technical work, the partners will develop strategies and roadmaps for positioning the newly developed models in the regulatory framework and integrating them into pharmaceutical vaccine development. The overall workplan is underpinned by horizontal activities on coordination/management and dissemination/communication, including data management and future sustainability.
To achieve these ambitious objectives, Inno4Vacc has assembled a multidisciplinary consortium from academic and research institutions, industries, regulatory bodies, and vaccine R&D alliances. This unique partnership brings together clinical, immunological, microbiological, systems biology, mathematical models, and regulatory expertise and includes world-leaders in each respective field.
Fields of science
- natural sciencescomputer and information sciencesdata sciencedata analysis
- medical and health sciencesbasic medicinepharmacology and pharmacypharmaceutical drugvaccines
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencesmathematicsapplied mathematicsmathematical model
Call for proposal
See other projects for this call
Funding SchemeIMI2-RIA - Research and Innovation action
5211 DA S-hertogenbosch
2800 Kongens Lyngby
E14 4PU London
1435 Mont Saint Guibert
2829 516 Caparica
WC1E 6BT London