SOURCE-LINKED INTELLIGENCE
Unraveling the dark matter of infectious diseases, environmental and genetic factors tipping the balance towards NCDs
differences in the role of IDs between IR-NCDs. Building on associations identified from population scale and clinical cohorts, we will demonstrate causality in gnotobiotic mouse models, and leverage machine learning (ML) algorithms to predict disease progression and response to treatment. The combination of novel assays with ML represents a broadly applicable pipeline that can be used for studying the interplay of any other IDs/ IR-NCDs. machine learning, antibody repertoires, HLA genotyping, BCR/TCR germline variation, microbiota-immune axis
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 7185361
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.