Identification of Digital Biomarkers for Neurological Diseases

Digital biomarkers are often defined as digital physiological and behavioral data that can objectively quantify health-related outcomes. They are traditionally measured by means of digital devices such as portables, wearables, implantables, or digestibles. The data collected are typically used to explain, influence, and predict disease diagnosis or progression. Our research borrows novel artificial intelligence and computer vision methods to identify, quantify, and track digital biomarkers in a non-intrusive manner.

References

[1] Lu et al.: Quantifying Parkinson’s Disease Motor Severity Under Uncertainty Using MDS-UPDRS Videos, Medical Image Analysis, Volume 73, October 2021, 102179