Research Topics
The topics our research team can’t stop thinking about.
Digital Biomarkers
— The development and validation of digital surrogate measures for biological function, often as a means to screen patients for rare or problematic diagnoses, or to track disease progression without the need for direct clinical assessment.
Mathematical Modeling of Physiological Functions
— The application of mathematical principles to biological processes to create simplified, workable, and clinically useful models for complex biological and disease processes.
Vocal Biomarkers
— The science of extracting physiologically meaningful data from the human voice for screening or diagnostic purposes, using advanced analysis of acoustic features that reflect underlying biological function. These approaches capture how changes in physiology subtly alter vocal characteristics, enabling non-invasive detection of disease.
Applying Technology to Disambiguate Complex Clinical Conditions
— The application of data science techniques, including machine learning and artificial intelligence, or novel sensor technologies, to unravel complex umbrella clinical conditions into their relevant subgroups.