PhD student, Cand.scient. Sports Science and Data Science (enrolled 2024)
manuth@ph.au.dk
Tel: +45 31 95 52 24
Department: Steno Diabetes Center Aarhus, Aarhus University Hospital
Research area
- Diabetic complications
- Epidemiology
Research description
Development of vocal biomarkers for predicting diabetes-related complications using deep learning.
My study focuses on using voice to assess the risk of diabetes-related complications. Diabetes can affect organs involved in voice and speech production.
By analysing the voice and vocal biomarkers, we aim to monitor and diagnose conditions like cardiovascular disease, neuropathy, and diabetes distress.
During my project I will collect new data and develop machine learning models to predict these complications, which we think will contributing to innovative monitoring methods for diabetes in the future.