Area of research
Pathology and Forensic Medicine · Artificial Intelligence
Research interest
Research interests include Multiple Sclerosis Research Studies, Adversarial Robustness in Machine Learning, Topic Modeling, and Lysosomal Storage Disorders Research.
Construction of early warning classification of risk in bladder spasm and its intervention plans guided by the rate adjustment card of continuous bladder irrigation after transurethral resection of the prostate (TURP): development and usability study
What Is Learned in Knowledge Graph Embeddings?
Evaluation of multiple sclerosis disability outcome measures using pooled clinical trial data
Evaluation of no evidence of progression or active disease (NEPAD) in patients with primary progressive multiple sclerosis in the ORATORIO trial
The MSOAC approach to developing performance outcomes to measure and monitor multiple sclerosis disability
Ocrelizumab versus Interferon Beta-1a in Relapsing Multiple Sclerosis
A Fully Integrated Wireless Compressed Sensing Neural Signal Acquisition System for Chronic Recording and Brain Machine Interface
Impact of a switch to fingolimod on depressive symptoms in patients with relapsing multiple sclerosis: An analysis from the EPOC (Evaluate Patient OutComes) trial
Efficacy and Safety of Ocrelizumab in Primary Progressive Multiple Sclerosis: Results of the Phase III Double-Blind, Placebo-Controlled ORATORIO Study (S49.001)
A closed-loop compressive-sensing-based neural recording system
Estimating Time to Disease Progression Comparing Transition Models and Survival Methods—An Analysis of Multiple Sclerosis Data