Project cooperationUpdated on 5 January 2026

AIomics: IBD data lake and foundation model

Director of Data Science at Scailyte AG

Basel, Switzerland

About

AIomics is a predictive causal intelligence platform seeking to address the IBD drug challenge, where most trials fail and current drugs are only effective in about 50% of patients.
It uses multi-agent AI on a foundation model trained on a corpus of publicly-available single-cell RNA-seq data together with new, proprietary spatial omics data generated from a 15-year Swiss IBD cohort.
The system provides explainable causal intelligence across time and molecular space.
A multi-agent AI system provides explainable reasoning on the molecular evolution of drug resistance.

Topic

DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-03: Advancing research on the prevention, diagnosis, and management of post-infection long-term conditions
DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-09: Multisectoral approach to tackle chronic non-communicable diseases: implementation research maximising collaboration and coordination with sectors and in settings beyond the healthcare system (GACD)
DESTINATION 4: HORIZON-HLTH-2026-01-CARE-01: Public procurement of innovative solutions for improving citizens' access to healthcare through integrated or personalised approaches
DESTINATION 4: HORIZON-HLTH-2026-01-CARE-03: Identifying and addressing low-value care in health and care systems
DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
DESTINATION 6: HORIZON-HLTH-2026-01-IND-03: Regulatory science to support translational development of patient-centred health technologies

Type

Partner seeks Consortium/Coordinator

Organisation

Scailyte AG

Company (SME)

Basel, Switzerland

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Professor at University of Turku
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