The promise of omic mapping 

Published on April 2nd, 2026

The rapid expansion of omic technologies is transforming how we understand human biology, shifting from single-layer insights to complex, system-level perspectives. However, generating data is no longer the main challenge. The real question is how to integrate, standardize, and share these datasets to make them actionable at scale. In this session, the discussion focused on how omics can move from fragmented discovery to a coordinated foundation for precision medicine. 

The full session can be viewed in the recording below.  

Key takeaways

• The main challenge is data integration and standardization, not data generation 

• Multi-omic approaches require large, diverse, and longitudinal datasets 

• Data access and interoperability remain major bottlenecks 

• Regulatory demand for real-world evidence is increasing 

• Open science is essential to unlock the full value of omics and AI 

Policy recommendation

Require open, standardized sharing of publicly funded biomedical research, including papers, raw data, and metadata, so AI and regulators can use it.

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