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Help Build an A.I. Model to Predict Myasthenia Gravis Symptom Patterns and Flares

NCT04590716 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 113

Last updated 2021-07-29

No results posted yet for this study

Summary

There are limited objective measurements of MG symptoms as well as a dearth of data at a granular level of MG (myasthenia gravis) symptoms and triggers occurring longitudinally.

This study is designed to use the strengths of mobile smartphones which enable participant-driven real time capture of data manually and through augmented sensors such as video and audio, in order to better characterize MG symptoms and flares.

The study aims to enroll approximately 200 participants for approximately 9 months until analyzable data is available from at least 100 participants. Participants will complete in-app surveys for 3 months with, audiovisual recording of symptoms. This will take approximately 35 minutes per week after the initial survey.

Conditions

Interventions

OTHER

Data Collection

This is a non-interventional study conducted on the participant's smartphones to record MG related symptoms and conditions.

Sponsors & Collaborators

  • UCB Biopharma SRL

    collaborator INDUSTRY

  • doc.ai inc

    lead INDUSTRY

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-10-02
Primary Completion
2021-07-26
Completion
2021-07-26

Countries

  • United States

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04590716 on ClinicalTrials.gov