Personalised Short-Term Glucose Prediction via Recurrent Self-Attention Network. - Ran Cui; Chirath Hettiarachchi; Christopher J. Nolan; Elena Daskalaki; Hanna Suominen (CBMS, 2021)

A Significance Assessment of Diabetes Diagnostic Biomarkers Using Machine Learning. - Ran Cui; Elena Daskalaki; Md. Zakir Hossain; Artem Lenskiy; Christopher J. Nolan; Hanna Suominen (Nursing Informatics, 2021)

Comparison of Word and Character Level Information for Medical Term Identification Using Convolutional Neural Networks and Transformers. - Sandaru Seneviratne; Artem Lenskiy; Christopher J. Nolan; Eleni Daskalaki; Hanna Suominen (Nursing Informatics, 2021)

Non-linear Continuous Action Spaces for Reinforcement Learning in Type 1 Diabetes. - Chirath Hettiarachchi; Nicolò Malagutti; Christopher J. Nolan; Hanna Suominen; Elena Daskalaki (AI, 2022)

A Reinforcement Learning Based System for Blood Glucose Control without Carbohydrate Estimation in Type 1 Diabetes: In Silico Validation. - Chirath Hettiarachchi; Nicolò Malagutti; Christopher J. Nolan; Eleni Daskalaki; Hanna Suominen (EMBC, 2022)

Jointly Predicting Postprandial Hypoglycemia and Hyperglycemia Using Continuous Glucose Monitoring Data in Type 1 Diabetes. - Ran Cui; Christopher J. Nolan; Elena Daskalaki; Hanna Suominen (EMBC, 2023)

Ensuring security of artificial pancreas device system using homomorphic encryption. - Haotian Weng; Chirath Hettiarachchi; Christopher J. Nolan; Hanna Suominen; Artem Lenskiy (Biomed. Signal Process. Control., 2023)

Meta-optimised Time-index Modeling for Glucose Excursion Prediction. - Ran Cui; Hanna Suominen; Christopher J. Nolan; Elena Daskalaki (BIBM, 2024)

G2P2C - A modular reinforcement learning algorithm for glucose control by glucose prediction and planning in Type 1 Diabetes. - Chirath Hettiarachchi; Nicolò Malagutti; Christopher J. Nolan; Hanna Suominen; Elena Daskalaki (Biomed. Signal Process. Control., 2024)