Research Unmuted – Episode 3: Learning From Irregular Data

This scholarly podcast episode discusses recent research on modeling irregular data in health care. The episode is based on the peer-reviewed study by Mehdizavareh H, Khan A, and Cichosz SL, titled "Enhancing glucose level prediction of ICU patients through hierarchical modeling of irregular time-series", published in Comput Struct Biotechnol J. The discussion focuses on the methodological aspects, key findings, and implications for clinical practice and future research. This episode is part of Research Unmuted (https://research-unmuted.uk/), a scientific audio journal aimed at translating contemporary medical and digital health research into an accessible, yet academically, audio format.