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:

  • Learn how Trusted TargetID uses multi-modal data, including genomic and clinical datasets, to identify disease-related genes and variants

  • Understand how AI agents dynamically integrate population data and biomedical knowledge to surface meaningful drug targets

  • See how the framework enables validation of hypotheses through data triangulation and federated AI

  • Explore use cases across oncology, rare diseases, and population health

  • Discover how this approach supports drug developers with faster, more accurate candidate identification—without moving sensitive data

Download the Whitepaper

Federate everything. Move nothing. Discover more.


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