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AI-enabled real world evidence for rare diseases

Bringing the power of artificial intelligence, longitudinal clinical data and genomics to rare disease discovery, development and commercialization

Longitudinal clinical and administrative data enriched with genomics and supported by AI-based predictive analytics
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Improving outcomes for patients living with rare diseases
About Triaxia

Powering the discovery, development, and deployment of new rare disease therapies

Our combined longitudinal clinical and administrative data, enriched with genomics and enabled by AI, delivers against the complete range of biopharma RWE needs

Our team combines experienced healthcare informatics professionals with expert clinicians from leading AMCs

About Us
TriAxia’s mission is to improve outcomes for patients living with rare diseases

We combine proprietary Clinical, Genomic, and Administrative data to enable to Discovery, Development, and Commercialization of rare-disease therapies

Team & Advisors
Our team.
Tanya Moreno, PhD
Raymond Benza, MD
Franz Rischard, DO
Evelyn Horn, MD
Michael Risbano, MD
Aaron Waxman, MD, PhD
Roham Zamanian, MD
Robert Epstein, MD
Jonathan White, MD
J. Marc Overhage MD, PhD
Tanya Moreno, PhD
Raymond Benza, MD
Franz Rischard, DO
Evelyn Horn, MD
Michael Risbano, MD
Aaron Waxman, MD, PhD
Roham Zamanian, MD
Robert Epstein, MD
Jonathan White, MD
J. Marc Overhage MD, PhD

Examples of the impact our products have had for our clients

From use of our genomic data to validate a novel target for an early stage biotech to large scale retrospective clinical studies in support of multi-billion dollar drugs for top global pharmas, TriAxia provides the rare disease clinico-genomic data our clients need

The model correctly predicted COPD-PH in 93.5% of patients analyzed

Global biopharma algorithm to detect COPD-PH patients

To enable recruitment for a Phase III trial, we developed an algorithm to detect undiagnosed patients with COPD-PH from generally available clinical data
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of US Patients achieved MCI

Global biopharma study of ‘Multi-Clinical Improvement’ (MCI) in US PAH patients as comparator to phase III Clinical Trial results

A top 5 global pharma needed data to support the Phase III trial of their latest blockbuster
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relevant genes differentially expressed in cases vs controls

Role of target pathway in disease pathophysiology for pre-clinical molecule

An early stage biotech had animal model data for a novel target and wanted to confirm with in-human genomics
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TriAxia publications can be found in the leading colleges, conferences and journals in healthcare

Our most recent publications at ATS, CHEST and elsewhere showcase our current work in rare pulmonary diseases
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HEAL: Hierarchical Embedding Alignment Loss
Association of the novel clinical trial endpoint multicomponent improvement (MCI) with event-free Survival
Association of the novel clinical trial endpoint multicomponent improvement (MCI) with event-free Survival
Application of Clinical and Molecular Phenotyping to Pulmonary Hypertension Using the TriAxia Health Platform