The next challenge starts in July 2026.

The CMI-Flu prediction challenge series follows on from the CMI-PB prediction challenges. Computational models capable of forecasting an individual’s immune response to the influenza vaccine can provide mechanistic insights and pave the way for personalized vaccination strategies. In this challenge we provide influenza vaccination data collected pre- and post-vaccination from a cohort of donors. The data is multi-modal, consisting of cytokine measures, transcriptomics, genetic information, and cell frequencies and phenotypes. Participants are asked to train a model on the provided training data, and to predict a post-vaccination response on an unseen challenge dataset.

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Figure 2: Our prediction challenges

You can find out more about our previous CMI-PB challenges here.