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Technology: Integrative approach

BostonGene’s AI-powered software platform integrates advanced bioinformatics, next-generation sequencing, flow cytometry and imaging technologies to deliver a comprehensive molecular and cellular understanding. By leveraging proprietary analytical tools and multi-modal data integration, our platform accelerates the development of life-saving therapies.

Transforming cancer care through AI innovation

An end-to-end AI platform for drug development
End-to-end AI drug development platform workflow diagram showing genomic and transcriptomic profiling stages End-to-end AI drug development platform workflow diagram showing genomic and transcriptomic profiling stages

BostonGene integrates complex biological data into a single platform

Our platform achieves exceptional outcomes by effectively leveraging available data and modalities to comprehensively represent the patient.
Organizational levels
  • Molecular
    Molecular mechanisms driving the disease: genomic, transcriptomic and proteomic analysis.
  • Cellular
    Signaling pathway activity within individual cells: TME composition and function
  • Tissue
    Cell-cell interactions and tissue architecture: spatial proteomic and transcriptomic analysis
  • Organism
    The interplay between the tumor and the entire organism: immune system profiling
Data types and modalities
  • Clinical data
    Pathology reports and medical records
  • Genomic
    Genetic variation and inherited heterogeneity
  • Transcriptomic
    Levels of gene expression and activated pathways
  • Proteomic
    Tissue-specific protein profiles
  • Cellular
    Cell composition using digital RNA cytometry
  • Imaging
    Spatial tissue profiling using digital pathology
  • Immunoprofiling
    Components and responses of the immune system
Diverse model applications
  • Simulate complex biological systems and drug response
    Predicting disease progression and patient response to treatment.
  • Increase predictive value of diagnostics for precise patient selection
    Through the parallel utilization of information from multiple modalities.
  • Design clinical trials
    Direct application to specific molecular subtypes to increase the PoS.
Laboratory innovations that power the AI engine