BioTAS™: Patented Infrastructure for Quantitative Plasma Proteomics
An integrated system combining controlled plasma isolation, quantitative mass spectrometry, and AI-enabled proteomic modeling to deliver reproducible protein measurement at a clinical scale.
Integrated Platform Architecture
Remote Blood Collection and Plasma Stabilization
Proprietary collection and stabilization workflows designed to preserve plasma integrity and control variability prior to analytical processing.
Quantitative Mass Spectrometry
High-resolution protein measurement optimized for plasma analysis and cross-study consistency.
AI-Enabled Proteomic Modeling
Structured modeling approaches to define systemic response patterns, identify protein signatures, and support longitudinal interpretation.
Clinical-Scale Integration
Workflow compatibility with decentralized study environments and CLIA-aligned laboratory deployment.
Applications of BioTAS™
Systemic Drug Response Characterization
Longitudinal plasma profiling to evaluate pharmacodynamic effects and pathway modulation across development programs.
Stratification Strategy Development
Identification of protein signatures associated with response differentiation or cohort segmentation.
Companion Diagnostic Development
Progression from plasma proteomic profiling to analytically structured assay workflows suitable for regulated deployment.
Decentralized Clinical Trial Integration
Controlled collection and standardized workflows enabling consistent measurement across distributed study sites.
Engineered for Reproducibility and Clinical Integration
- Standardized plasma stabilization workflows
- Inter-operator and inter-instrument reproducibility
- Compatibility with multi-site studies
- CLIA-aligned laboratory deployment
- Structured analytical traceability
Platform Differentiation
BioTAS™ unifies controlled pre-analytical plasma handling, quantitative mass spectrometry, and structured proteomic modeling within a single integrated framework, enabling reproducible systemic protein measurement suitable for clinical-scale implementation.
