Sijia Feng
Physics-informed machine learning with multi-source satellite data to quantify field-scale N2O emissions for climate-smart agriculture
Abstract: Nitrous oxide (N2O) is a highly important greenhouse gas...
Johanna Düngler
Understanding the interaction of Privacy, Robustness, and Fairness in machine learning algorithms
Abstract: Machine learning models and algorithms are increasingly integrated into...
Manuel Mounir Demetry Thomasen
Development of vocal biomarkers for predicting diabetes-related complications using deep learning
Abstract: Background Diabetes is a complex chronic condition with severe...
Jakob Nebeling Hedegaard
Automatic Anomaly Discovery in Registry Data
Abstract: Automac Anomaly Detecon in Health Registry Data by Dynamic,...
Shanshan He
Disentangling the Genetic Basis of Diabetic Kidney Disease Using Single-Cell Multimodal Sequencing in Human Diabetic Kidney
Abstract: Diabetic kidney disease (DKD) represents a major long-term complication...
Amalie Koch Andersen
Risk engine tool to support early prevention of diabetes-related complications for people with prediabetes
Abstract: More than 650 million people suffer from prediabetes worldwide...