PRODUCT
Bespoke dataframes with HEOR services including advanced traditional and AI-enabled analytics
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These dataframes can then be used to support a wide range of analytical purposes, including
Health Economic and Outcomes Research
Retrospective and prospective Health Economic and Outcomes Research analyzing any of a wide range of clinically-relevant endpoints (Healthcare utilization, mortality and morbidity, PAH-specific endpoints such as 6MWD, WHO/NHYA FC, NT-proBNP/BNP, PVR, etc.)
Protocol Specific Outcomes
Protocol-specific (e.g. mono/dual/triple therapy) impact on any given set of outcomes for any given patient population (including PAH sub-types)
In-Market Usage
Detailed clinical and administrative data capturing prescribing patterns by health system, protocols and dosages, patient outcomes, patient demographics and the like
Early Diagnosis Algorithms
Since over half the patients with a rare disease generally don't know they have one, TriAxia uses AI to generate screening algorithms to detect undiagnosed patients with any given rare disease using their demographic and clinical data
Patient Co-morbidity Impact on Outcomes
Since over half the patients with a rare disease generally don't know they have one, TriAxia uses AI to generate screening algorithms to detect undiagnosed patients with any given rare disease using their demographic and clinical data
PRODUCTS
Powering the discovery, development, and deployment of new rare disease therapies
Clinical Trial Support
Identify and recruit patients as clinical trial participants; create virtual control groups to replace or supplement trial controls
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Generate and test hypotheses for genes and pathways as potential drug targets or biomarkers, explore patient sub-segmentation, and more
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