The project aims to transfer foundational knowledge about phonetic-prosodic changes in the speech system of neurotypical and pathological speakers into a clinical context. Together with our industry partner ki:elements GmbH, we are developing an algorithm that reliably detects clinically relevant speech changes in Parkinson’s disease using digital biomarkers. The algorithm is intended for long-term use in clinical practice to help preserve the communication abilities of Parkinson's patients through timely speech therapy.