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"From patient data to novel targets and biomarkers: UK Biobank use case"

Traditional drug discovery is slow, costly, and often disconnected from the real biology of patients. Meanwhile, biobank resources like the UK Biobank gather vast genomic, proteomic, and phenotypic datasets -- a treasure full of insights waiting to be discovered.

But here’s the challenge: How do we translate millions of patient data points into actionable discoveries? The answer lies in AI-powered biobank analysis, which enables us to identify causal pathways, discover novel subgroups, and guide smarter therapeutic decisions.

Webinar insights:

• Uncover hidden phenotypes and subgroups using AI applied to large-scale patient data.
• Support drug repurposing and indication expansion through biobank insights.
• Accelerate target identification with proteomics-driven discovery.

In this session, we’ll share real-world examples from the UK Biobank that show how AI-based analysis impacts novel discoveries based on patient data.

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