SOURCE-LINKED INTELLIGENCE

PREParedness using Artificial Intelligence for Rapid VACcine design

CORDIS · observation · Publication date unknown

PREParedness using Artificial Intelligence for Rapid VACcine design Zoonotic diseases are the cause of >70% of emerging infectious diseases. In PREPAIR-VAC, we use Influenza, specifically H1N1 as a model disease. Vaccination is considered the most effective public health measure to prevent the impact of any viral threats, including Influenza. Current vaccine design approaches are reactive by nature and will require to know the circulating strain before designing the vaccine. As a result, viruses can spread widely before the vaccine is made available, making vaccine design and production major bottlenecks in rapid outbreak response. The main objective of the project is to establish and validate a rapid, scalable, and modular AI-driven pipeline for vaccine development that addresses every critical component of the pipeline: prediction of the evolution of pathogens, antigen selection and vaccine design and ma

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recordType

award

status

SIGNED

region

EU

value

6572638.75

unit

EUR