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  • Adaptive Neurorehabilitation Powered by Real-Time Intelligence

    Personalized therapy for Parkinson’s disease and neurological disorders using AI-driven adaptive cycling.
  • 🔷 WHAT IS ADAPTIX NEURO


    Intelligent Rehabilitation, Personalized for Every Patient

    Adaptix Neuro is an AI-enabled rehabilitation platform that combines a motorized stationary bike with real-time adaptive control and physiological feedback.
    Unlike traditional rehabilitation systems, Adaptix Neuro continuously monitors user performance and dynamically adjusts therapy parameters — delivering personalized, optimized exercise in every session.
    • Real-time adaptive control
    • Personalized therapy based on patient response
    • Continuous performance monitoring
    • Designed for clinical and home environments
  • 🔷 WHY IT MATTERS

     
    A Smarter Approach to Neurorehabilitation
     
    Parkinson’s disease affects over 10 million people worldwide, yet current rehabilitation approaches remain largely static and non-personalized.
    The Challenge
    • Therapy is often not tailored to individual response
    • Outcomes vary significantly between patients
    • Limited real-time feedback and optimization
    Our Solution
    Adaptix Neuro introduces a closed-loop, data-driven approach that adapts therapy in real time, helping maximize patient engagement and therapeutic outcomes.
  • 🔷 CLINICAL IMPACT


    Backed by Research, Designed for Outcomes

    Adaptix Neuro is built on more than 15 years of peer-reviewed research in dynamic cycling therapy and adaptive rehabilitation.
    Early studies have shown:
    • Up to 13% improvement in motor function after 3 sessions
    • Up to 22% improvement after 12 sessions
    Our approach combines clinical evidence with engineering innovation to deliver measurable, meaningful improvements in patient outcomes.
  • 🔷 TEAM SNAPSHOT

     
    Led by Experts in Engineering, Clinical Research, and Commercialization
     
    • Haston Abdar, PhD – CEO
    • Angela Ridgel, PhD – Chief Scientific Officer
    • Kenneth A. Loparo, PhD – CTO
    • Fred M. Discenzo, PhD – Technical Advisor
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