MSCopilot

The first clinically validated medical device to monitor MS progression.

MSCopilot is a software medical device dedicated to people living with Multiple Sclerosis (MS). Designed by Ad Scientiam in collaboration with patients and MS medical experts, it aims to improve disease monitoring and the quality of your care, complementing your standard medical follow-up.

MSCopilot helps you better understand your symptom progression over time and supports informed decision-making in collaboration with your healthcare professionals.

The patient mobile app allows you to perform regular, clinically validated digital tests at home to evaluate key motor, cognitive, and visual symptoms. Your results are transferred in real time to a secure dashboard for your healthcare professionals, who can rely on this objective data during your consultations.

Free to use, MSCopilot offers personalized support while strictly respecting health data security.

KEY FEATURES

• Regular symptom tracking – Active tests for walking, dexterity, cognition, and low-contrast vision • Assessment of MS impact on daily life – Validated questionnaires for fatigue and mental health • Progression visualization – Clear and accessible data history • Medical consultation support – Data accessible on your healthcare professionals' dashboard to facilitate discussions • Personalized reminders – Notifications to remind you to complete your tests and questionnaires • Security & Privacy – Health data hosting and management compliant with regulatory requirements (GDPR, HIPAA)

TARGET AUDIENCE

• People with Multiple Sclerosis • Healthcare professionals involved in MS care • MS care and monitoring facilities

REGULATORY INFORMATION

Ad Scientiam processes only the data necessary for monitoring your pathology. Your agreement is essential before any data processing. No data processing is performed without your consent. You can access the data we collect at any time through our data protection policy.

The assessments provided in MSCopilot are based on methodologies derived from the scientific literature and evaluated in clinical settings. Scientific references: DOI:10.1016/j.msard.2021.103164, DOI:10.1111/ene.14091.