WHITEPAPER
Population Genomics AI Agent for Target Identification & Validation with Trusted TargetID
Accelerating and validating early-stage drug discovery with Lifebit’s Trusted TargetID framework.
Unlocking Therapeutic Targets from Population Genomics Using AI
Trusted TargetID is Lifebit’s AI agent framework for target discovery and validation from population-scale multi-omics data. This whitepaper explains how the platform harnesses distributed data sources, population diversity, and knowledge graphs to enhance early drug discovery pipelines.
Download the whitepaper to:
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Learn how Trusted TargetID uses multi-modal data, including genomic and clinical datasets, to identify disease-related genes and variants
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Understand how AI agents dynamically integrate population data and biomedical knowledge to surface meaningful drug targets
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See how the framework enables validation of hypotheses through data triangulation and federated AI
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Explore use cases across oncology, rare diseases, and population health
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Discover how this approach supports drug developers with faster, more accurate candidate identification—without moving sensitive data