Our paper has been published in Npj Parkinson's disease!

Excited to share that our paper has been published in npj Parkinson’s Disease!

In this study, we developed an interpretable computer vision method to extract clinically meaningful motor features from video recordings of the finger-tapping MDS-UPDRS task. Our results show how AI-driven digital biomarkers can enable more objective and sensitive assessment of Parkinson’s disease progression.

This work brings together artificial intelligence, healthcare, and meaningful real-world clinical impact. I am truly passionate about this field and enthusiastic about continuing to contribute to it through future research.

Special thanks to my supervisors and all co-authors Luc Evers Michael Tangermann Bas Bloem Yağmur Güçlütürk, PhD Sooyoon Shin King Chung Ho, Ph.D for their guidance, support, and collaboration throughout this journey.