Ekaterina Koledova

13 papers Journal 3Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
Endocrinologists' Perceived Benefits and Risks of Digital Transformation for Growth Disorders Care in Taiwan: An Expert Panel Discussion.
MedInfo
Ekaterina Koledova, Chien-Ming Lin, Ying-Hua Huang, Octavio Rivera-Romero, Shabbir Syed-Abdul
2025 — conf
Monitoring Adherence to Growth Hormone Treatments Using Digital Health Solutions in Hong Kong: An Expert Panel Discussion.
MedInfo
Antony Fu, Wai Chun Wong, Ekaterina Koledova, Octavio Rivera Romero, Shabbir Syed-Abdul
2024 — conf
Preferences for Injection Device Settings and the Association with Adherence to Growth Hormone Treatment in Patient with Growth Disorders.
MIE
Paula van Dommelen, Octavio Rivera Romero, Lilian Arnaud, Chantal Zucchiatti, Ekaterina Koledova
2024 — conf
The Pediatric Growth Hormone Deficiency Patient Journey: Identifying Opportunities for Digital Health Interventions.
EFMI-STC
Guido Giunti, Fulvio Michelis, Ammar Halabi, Ekaterina Koledova, Jamie Harvey, Paul Dimitri
2023 — conf
Participatory Study to Explore Healthcare Professionals' Perceptions of a Connected Digital Solution for Adherence Monitoring of Recombinant Human Growth Hormone Treatment: Study Protocol and First Findings.
MIE
Octavio Rivera Romero, Maria Felicia Faienza, Edoardo Vergani, Chantal Zucchiatti, Ekaterina Koledova
2022 — conf
Observed High Adherence to Recombinant Human Growth Hormone Treatment Using a Multi-Component Approach to Improve Adherence in Individuals with Growth Disorders.
MIE
Kate Morgan, Paula van Dommelen, Ana-Rita Batista, Ekaterina Koledova
2022 J jnl
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.
BMC Medical Informatics Decis. Mak.
Amalia Spataru, Paula van Dommelen, Lilian Arnaud, Quentin Le Masne, Silvia Quarteroni, Ekaterina Koledova
2021 — conf
A Data-Driven Intervention Framework for Improving Adherence to Growth Hormone Therapy Based on Clustering Analysis and Traffic Light Alerting Systems.
EFMI-STC
Matheus Araújo, Paula van Dommelen, Jaideep Srivastava, Ekaterina Koledova
2021 J jnl
Connected health for growth hormone treatment research and clinical practice: learnings from different sources of real-world evidence (RWE) - large electronically collected datasets, surveillance studies and individual patients' cases.
BMC Medical Informatics Decis. Mak.
Nea Boman, Luis Fernández-Luque, Ekaterina Koledova, Marketta Kause, Risto Lapatto
2021 — conf
Digital Health in the Management of Pediatric Growth Hormone Therapy - 10 Years of Developments.
MIE
Ekaterina Koledova, Quentin Le Masne, Amalia Spataru, Merat Bagha, David Dixon
2021 — conf
High Engagement of Patients Monitored by a Digital Health Ecosystem Indicates Significant Improvements of Key r-hGH Treatment Metrics.
MIE
Amalia Spataru, Silvia Quarteroni, Lilian Arnaud, Paula van Dommelen, Ekaterina Koledova, Quentin Le Masne
2021 — conf
Using Deep Learning for Individual-Level Predictions of Adherence with Growth Hormone Therapy.
MIE
Matheus Araújo, Paula van Dommelen, Ekaterina Koledova, Jaideep Srivastava
2020 J jnl
Analysis of real-world data on growth hormone therapy adherence using a connected injection device.
BMC Medical Informatics Decis. Mak.
Ekaterina Koledova, Vincenzo Tornincasa, Paula van Dommelen