Mikkel Runason Simonsen

Improving the Clinical Utility of Prognostic Tools through Calibration

Abstract: For a wide range of medical conditions, prognostic models...

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...

Malene Nørregaard Nielsen

Illuminating the Potentials of Photoplethysmography in Patients with Atrial Fibrillation using Explainable Artificial Intelligence

Abstract: Aim: This project investigates the unexplored clinical potentials of...

Madeleine Wyburd

Towards Early Detection of Structural Biomarkers of Cerebral Palsy

Abstract:   Cerebral Palsy (CP) is the most common motor...

Martin Rune Hassan Hansen

Improved detection of diabetes mellitus among African adults using machine learning

Purpose: The objective of the project is to develop risk...

Martin Sæbye Carøe

Multi-modality reconstruction methods for robust mineral classification in the ”Black Beauty” Mars meteorite using neutron and X-ray tomographyAbstract

Abstract: Computed tomography is a very widespread approach to visualize...

DDSA