High Engagement of Patients Monitored by a Digital Health Ecosystem Indicates Significant Improvements of Key r-hGH Treatment Metrics. - Amalia Spataru; Silvia Quarteroni; Lilian Arnaud; Paula van Dommelen; Ekaterina Koledova; Quentin Le Masne (MIE, 2021)

Use of machine learning to identify patients at risk of sub-optimal adherence: study based on real-world data from 10, 929 children using a connected auto-injector device. - Amalia Spataru; Paula van Dommelen; Lilian Arnaud; Quentin Le Masne; Silvia Quarteroni; Ekaterina Koledova (BMC Medical Informatics Decis. Mak., 2022)

Preferences for Injection Device Settings and the Association with Adherence to Growth Hormone Treatment in Patient with Growth Disorders. - Paula van Dommelen; Octavio Rivera Romero; Lilian Arnaud; Chantal Zucchiatti; Ekaterina Koledova (MIE, 2024)