Dr. Eline Kho

Eline Kho is a technical physician and works as postdoctoral researcher at the Amsterdam UMC, focusing on advanced hemodynamic modelling.

As a technical physician, she focuses on translating complex physiological data into clinically actionable insights. Her work centers on the development of machine learning–based algorithms to estimate the probability of individuals having a disease (diagnostic applications) or developing a disease or health condition over time (prognostic applications). By combining physiological modeling with clinical data, she aims to support more accurate and timely clinical decision-making. Her research is embedded within the Departments of Anesthesiology and Intensive Care, where continuous monitoring, hemodynamics, and critical care medicine intersect. Her focus is on developing robust, interpretable, and clinically applicable models that can be deployed in real-world, high-acuity clinical environments.

A key objective of her work is to bridge the gap between technical innovation and clinical practice by translating advances in machine learning and computational modeling into practical tools that integrate seamlessly into clinical workflows and ultimately improve patient outcomes.