Actively Recruiting
Construction of A Multimodal Digital Assessment Model for Myasthenia Gravis
Led by Huashan Hospital · Updated on 2025-08-28
180
Participants Needed
1
Research Sites
117 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
This research is a single-center, exploratory, observational study to be carried out in the outpatient or inpatient ward of the Neurology Department at Huashan Hospital, affiliated to Fudan University. The aim is to develop a digital assessment model for Myasthenia Gravis by gathering multimodal digital phenotypic data from MG patients. This includes physiological signals, facial videos, eye movements, speech, limb movements, various scales, and quality of life metrics.
CONDITIONS
Official Title
Construction of A Multimodal Digital Assessment Model for Myasthenia Gravis
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Confirmed diagnosis of myasthenia gravis and age over 18 years
- Clinical classification within Myasthenia Gravis Foundation of America (MGFA) classes I-IV or asymptomatic after treatment
- Signed informed consent form and privacy confidentiality agreement
- Healthy participants age-matched with MG participants
You will not qualify if you...
- MG patients in crisis stage (MGFA class V) unable to cooperate with scoring
- Patients with severe cardiopulmonary diseases unable to cooperate with scoring
- Patients with psychiatric disorders or cognitive dysfunction interfering with participation
- Patients with any other unspecified unstable medical condition
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Huashan Hospital, affiliated to Fudan University
Shanghai, China
Actively Recruiting
Research Team
Y
Yanan Miao, Ph.D.
CONTACT
C
Chong Yan, Ph.D.
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here