NeuroTechR3 develops machine learning-driven rehabilitation technologies that utilize gamified exercises to enhance neuromotor function in individuals with brain injuries. Their personalized system enables effective remote or in-person therapy, improving patient outcomes while providing clinicians with progress tracking and supervision capabilities.
Funding
$260K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Individuals recovering from brain injuries often face challenges in regaining neuromotor function, requiring consistent and engaging rehabilitation exercises. Traditional rehabilitation methods may lack personalization and remote accessibility, potentially hindering patient progress and clinician oversight.
Solution
NeuroTechR3 offers a machine learning-driven rehabilitation system designed to improve neuromotor function in individuals with brain injuries through personalized, gamified exercises. The system adapts to each patient's specific needs, providing engaging and motivating activities to enhance hand and arm function. Clinicians can remotely supervise patient progress, track performance metrics, and adjust therapy programs as needed. By integrating gamification and remote supervision, NeuroTechR3 aims to increase patient engagement, improve rehabilitation outcomes, and offer a cost-effective solution for both in-person and remote therapy settings. The platform's ease of use and motivating design make it suitable for hospitals, outpatient centers, therapeutic programs, schools, and home use.
Target Audience
The primary target audience includes individuals recovering from brain injuries, such as stroke, and clinicians specializing in neurorehabilitation.
Features
- Personalized rehabilitation programs tailored to individual patient needs using machine learning algorithms
- Gamified exercises designed to improve hand and arm function through engaging and motivating activities
- Remote clinician supervision capabilities for progress tracking and therapy adjustments
- Data-driven insights into patient performance, enabling evidence-based treatment decisions
- Compatibility with various settings, including hospitals, outpatient centers, schools, and home environments