Structured data and AI-ready infrastructure for MS clinics and researchers.
Axonovyn helps multiple sclerosis centers capture longitudinal clinical, cognitive, and patient-reported data in a structured way—laying the groundwork for better care, research, and AI-driven insights into progression.
What Axonovyn focuses on
A lightweight, clinic-ready layer to bring fragmented MS data into one structured, analysis-ready view.
The Axonovyn platform
Axonovyn is not another general-purpose EMR. It is a focused layer for MS clinics and research teams to capture the data that matter most for progression, outcomes, and future AI models.
Structured MS profiles
Capture core MS variables in a consistent format: diagnosis and MS type, DMT history, comorbidities, relapse history, and key imaging metadata (e.g., MRI/OCT dates and summaries).
Clinical, cognitive & PRO timelines
Track EDSS, walking and hand function measures, cognitive scores, and patient-reported outcomes such as fatigue, mood, and fear of relapse across visits.
Analysis-ready export
Generate de-identified, structured datasets suitable for statistical analysis and machine learning, including progression modeling and outcome prediction.
For MS clinics and centers
Built to support routine patient care while quietly organizing data in the background.
Clinical teams get:
- A concise, longitudinal view of each patient’s journey.
- Quick access to relapse history, disability, cognition, and treatment changes.
- Consistent documentation to support quality improvement initiatives.
For researchers and AI teams
Axonovyn is designed with research questions in mind: progression, cognitive trajectories, and the impact of therapies over time.
Research teams gain:
- Well-structured, de-identified datasets suitable for longitudinal analysis.
- Variables aligned with modern MS research: disability, cognition, relapses, DMTs, PROs.
- A foundation for integrating imaging and biomarker data in future phases.
About Axonovyn
Axonovyn emerged from academic work in MS, neuroimaging, and AI, with a simple observation: MS care generates rich data, but much of it is fragmented, unstructured, and under-used.
Our focus
We focus on building a lean, clinically meaningful data layer for MS care—one that supports everyday clinical decisions today and enables robust AI modeling tomorrow.
Our stage
Axonovyn is an early-stage, research-driven initiative. We are actively exploring pilot collaborations with MS clinics and academic centers interested in structured data capture and AI-ready infrastructure.
Interested in a pilot or collaboration?
If you represent an MS clinic, center, or research group and would like to discuss pilots, data needs, or AI projects, we would be glad to hear from you.
Please reach out via email and include a brief description of your clinic or project: