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Systematic Triangulation of Pathobiont-Host-Interactions

CORDIS · observation · Publication date unknown

ave developed an antibody coating based approach, to identify and culture pathobionts. Now, we want to overhaul our approach to develop a high throughput-pathobiont identification technology. Through machine learning, we then aim to find pathobiont-host genetic risk matches that drive disease and validate these matches in vivo. Lastly, we plan to demonstrate the potential of our new technology and gained knowledge. Through leveraging the gained knowledge, we aim to identify pathobiont-host risk matches in publicly available databases. This will unmask individuals at risk for the development of IBD, CRC and potentially other disorders. This may pave the way for future microbiome-based precision medicine approaches. Microbiome, host genetic risk, host-pathobiont interaction, immune system, chronic disorders, bioinformatics

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recordType
award
status
SIGNED
region
EU
value
1993688
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.