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Nature Communications|September 28, 2018
A scalable online tool for quantitative social network assessment reveals potentially modifiable social environmental risksAmar Dhand, Charles C White, Catherine Johnson, et al.
Journal of Medical Internet Research|June 3, 2025
Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments: Real-World EvaluationZongqi Xia, Prerna Chikersal, Shruthi Venkatesh, et al.
Medrxiv : the Preprint Server for Health Sciences|February 20, 2025
Comparison of B-cell depletion versus natalizumab for treatment of multiple sclerosis: A semi-supervised causal analysisDominic DiSanto, Weijing Tang, Wen Zhu, et al.
Neurology. Genetics|August 10, 2016
Complex relation of HLA-DRB1*1501, age at menarche, and age at multiple sclerosis onsetRiley Bove, Alicia S Chua, Zongqi Xia, et al.
International Journal of Medical Informatics|May 4, 2020
Automated ICD coding via unsupervised knowledge integration (UNITE)Aaron Sonabend W, Winston Cai, Yuri Ahuja, et al.
Medrxiv : the Preprint Server for Health Sciences|March 4, 2025
Circulating cell-free DNA methylation profiles as noninvasive multiple sclerosis biomarkers: A proof-of-concept studyHailu Fu, Kevin Huang, Wen Zhu, et al.
JAMA Network Open|November 16, 2021
Comparison of Dimethyl Fumarate vs Fingolimod and Rituximab vs Natalizumab for Treatment of Multiple SclerosisJue Hou, Nicole Kim, Tianrun Cai, et al.
Medrxiv : the Preprint Server for Health Sciences|January 7, 2025
Aging-dependent Change in Th17 and Cytokine Response in Multiple SclerosisWen Zhu, Shankar Revu, Chenyi Chen, et al.
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