U.S., Oct. 23 -- ClinicalTrials.gov registry received information related to the study (NCT07890662) titled 'Prediction of SLE Flares Using Patient-Reported Outcomes and Machine Learning' on Oct. 15.
Brief Summary: This study aims to Develop a low-cost, PRO-based ML tool can: - Reduce lab costs - Enable telemedicine monitoring - Detect flares early - Improve care in resource-limited settings.
Study Start Date: June 30
Study Type: OBSERVATIONAL
Condition:
SLE
Intervention:
OTHER: Patient-Reported Questionnaire (PROs)
Fatigue, joint pain, morning stiffness, rash, oral ulcers, hair loss, fever, sleep, stress, medication adherence, flare history, patient global assessment (VAS 0-10)
Recruitment Status: RECRUITING
Sponsor: Sohag Univer...