Population Genomics AI Agent for Target Identification & Validation with Trusted TargetID

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.

Inside

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