In this talk, I focus on speech as an easy-to-extract biomarker for various diseases and congenital defects. I discuss the motivation and information gain of the analysis of pathological speech as well as various aspects which are more or less important when compared to the analysis of regular speech. Examples for these aspects are small data collections, data privacy, and explainability of the automatic decisions.