I am Young Eun Huh, an assistant professor of neurology at CHA University School of Medicine in South Korea. I am working as a visiting scholar at ISB.

My research interest is to digitalize the balance and gait patterns of Parkinson’s disease, and to analyze and correlate these data with clinical phenotypes of Parkinson’s disease, such as freezing of gait and abnormal posture. I am also working on the project evaluating the neuroprotective efficacy of stem cells-derived exosome in animal models of prodromal Parkinson’s disease.

While I have been studying about neurology patients, I realized that classic analytic method has many caveats to exactly assess the complexity of disease or human being. As for Parkinson’s disease, in particular, phenotypic spectrum of PD is quite various, such as motor and non-motor manifestation, response to therapeutics, complication to drugs, and pathomechanisms.

For this reason, I would like to develop models that can explain this phenotypic variety of PD, by analyzing omics and body movement data obtained from wearables. That’s why I was deeply impressed by recent research conducted by Hood-Price group, 100-pioneer study. Hopefully, similar approach can be applied to the case of PD. I believe that this can eventually help realize precision medicine for PD patients, predicting development of motor and non-motor features, response to therapeutics, and adverse events to medication, at more individual level.