Leveraging Machine Learning for Developing Biological and Digital Biomarkers: Studies in Neurological Disorder Diagnostics, Circadian Rhythm Monitoring, and Heart Failure Prognostics

This thesis develops biological and digital biomarkers for health diagnostics, monitoring, and prognostics using machine learning, spanning neurological disorder diagnostics from multi-omics data, circadian rhythm monitoring with commercial wearables, and heart failure prognostics from vocal biomarkers.

PhD thesis, ETH Zürich