DuneAI (UM) is a use case that involves evaluating an automated segmentation software for detecting and segmenting non-small-cell lung cancer tumours in CT scans. This deep learning technique-based software has been validated on a large dataset and has shown high sensitivity and specificity in addition to fast segmentation times when compared to human experts. The purpose of this evaluation is to assess the software's usability and usefulness in a clinical setting and to improve its integration into clinicians' workflow.

COPowereD (COM) aims to predict hospitalisation or acute exacerbations in patients with chronic obstructive pulmonary disease by using medical AI algorithms that include patient-reported outcomes. The solution is a part of the COMUNICARE application, which is a generic solution for patient empowerment and self-efficacy in chronic care and post-hospitalisation contexts. The goal is to reduce the number of hospital admissions for chronic obstructive pulmonary disease exacerbations.

Pharmacogenomics Passports to Practice (PGx2P) is a use case that aims to implement preventive pharmacogenetics testing of a panel of genetic variants approved for clinical use by the Dutch Pharmacogenetics Working Group guidelines. This project is led by VITO and will recruit five general practitioners in the region of Antwerp, Belgium, to evaluate PGx2P with patients who could benefit from the testing. The project aims to facilitate stratified prescription of commonly used medications, resulting in a >25% reduction of overall adverse drug responses and >20% better adherence to prescriptions in PGx2P tested individuals.