Agentic AI-Driven Biomarker Discovery

Our advanced agentic AI platform designed to accelerate biomarker discovery and interpretation in oncology. By combining large-scale scientific retrieval, deep evidence extraction, and context-aware clinical reasoning, our platform transforms unstructured literature into structured, actionable insights.

Core Capabilities

  • Targeted Scientific Retrieval
    • Intelligent search across >2 million publications and manuscripts
    • Context-aware retrieval tailored to specific biomarkers, diseases, and experimental conditions
    • Prioritization of high-relevance and high-quality evidence
  • Evidence Extraction
    • Automated extraction of key biological and clinical information from literature
    • Identification of:
    • Methylation patterns (hyper/hypo)
    • Mutation associations
    • Gene expression changes
    • Study-specific context (sample type, stage, cohort)
    • Structured outputs for downstream analysis and comparison
  • Clinical Inferencing
    • AI-driven interpretation of biomarker relevance in clinical and biological contexts
    • Integration of:
    • Cancer subtype
    • Disease stage and progression
    • Patient stratification factors (e.g., smoking status, sex)
    • Supports hypothesis generation and decision-making in precision oncology
  • Experimental Support
    • Translates insights into actionable experimental strategies
    • Supports:
      • Biomarker prioritization
      • Panel design (methylation, mutation, expression)
      • Assay development guidance (qPCR, NGS)