NeuronFRAMES is shaped by the medical personnel who use it and the researchers who study it. This page maps the partnerships powering the platform, and is updated as new collaborations join.
Clinical feedback from rehabilitation professionals at leading institutions guides system development, ensuring NeuronFRAMES meets real-world clinical needs.
Collaborative partnership across three clinical divisions, providing guidance on rehabilitation protocols, patient assessment, therapy design, and technology integration into clinical workflows.
Guiding exercise prescription, range-of-motion goals, and movement-quality standards for patients recovering from stroke, neurological, and orthopedic conditions.
Guiding the design of activities targeting hand coordination, daily living skills, and cognitive exercises for patients recovering from stroke and neurological conditions.
Shaping pronunciation, language, and communication drills, and defining how each attempt is scored, so therapists can follow recovery word by word.
Contributing clinical feedback on therapy exercise design, patient engagement strategies, and system usability for rehabilitation professionals.
Conducted field research; awaiting system integration.
Universities and labs supporting the research direction: from AI and biomechatronics to engineering and clinical study design.
Research collaboration on AI-driven rehabilitation systems, biomechatronic sensor integration, and collaborative robotics for accessible therapy solutions.
Academic partnership supporting engineering research, system architecture development, and technical innovation in rehabilitation technology.
Collaboration on medical research and clinical evaluation — co-designing study protocols, validating rehabilitation outcomes against clinical benchmarks, and assessing therapeutic efficacy, patient safety, and real-world effectiveness with the clinical and academic teams of Thailand's oldest and largest medical faculty.
Collaboration on the mathematical foundations of the platform — advanced data processing, algorithm design, and AI systems that transform raw movement and sensor data into accurate, clinically meaningful metrics and adaptive, individualized therapy models.
We're actively expanding our network of hospitals, rehabilitation centers, universities, and research labs. New partners will be listed here as collaborations are confirmed.