Theses

Doctoral theses

• Farhat-ul-Ain (2026) Bringing Together Intervention and Interaction Design With the Digital Health Behaviour Change Toolkit — Tallinn University
• Janek Metsallik (2026) Interoperability and Governance in National Digital Health — Tallinn University of Technology
• Tuuli Uudeberg (2026) Sensitivity and Individual Temporal Stability of EEG-Based Measures — Tallinn University of Technology
• Marianne Paimre (2026) Patterns of Online Health Information-Seeking Behaviour and Related Factors Among Estonian Older Adults — Tallinn University
• Igor Bossenko (2025) A domain-specific framework for semantic interoperability of health data — Tallinn University of Technology
• Karl-Gunnar Isand (2025) The impact of frailty on outcomes following emergency laparotomy: enhancing risk prediction and clinical decision-making — University of Tartu
• Hanna Maria Kariis (2025) Improving pharmacotherapy outcomes in psychiatric and cardiovascular conditions — University of Tartu
• Daniel Majoral López (2025) Deep neural networks for microscopy images — University of Tartu
• Elli Valla (2025) Leveraging Artificial Intelligence for Microkinematic Analysis of Fine Motor Skills in Parkinson’s Disease Detection — Tallinn University of Technology
• Zhigang Yin (2025) Computing and sensing in a smart ring — University of Tartu
• Mohammed A. S. Ali (2024) Deep learning methods for cell microscopy image analysis — University of Tartu
• Nzamba Bignoumba (2024) Predictive Systems Using Machine Learning Tools to Forecast Adverse Events During Medical Stays — Tallinn University of Technology
• Eric Blake Jackson (2024) Cross-Border Data Exchange In the Nordic-Baltic Region: Data Intermediaries, Interoperability, and e-Services Orchestration — Tallinn University of Technology
• Natàlia Pujol Gualdo (2024) Decoding genetic associations of female reproductive health traits — University of Tartu
• Ahto Salumets (2024) Bioinformatics analysis of various aspects in immunology — University of Tartu
• Melita Sogomonjan (2024) Understanding Failure in Digital Health Implementation – A Case Study of Implementing Computerised Cognitive Behaviour Therapy (cCBT) in Estonia — Tallinn University of Technology
• Egils Avots (2023) Brain abnormality detection using statistical analysis of individual structural connectivity networks and EEG signals — University of Tartu
• Markus Bertl (2023) Systematic AI Support for Psychiatry: A Framework on How to Implement Decision Support Systems — Tallinn University of Technology
• Hans Hõrak (2023) Development of a computer vision-based privacy-preserving automatic observation method for measuring physical activity in school — University of Tartu
• Ardo Allik (2022) Advancing Novel Physical Fatigue Assessment and Human Activity Monitoring Methods towards Personalized Feedback with Wearable Sensors — Tallinn University of Technology
• Katri Pärna (2022) Improving the personalized prediction of complex traits and diseases: application to type 2 diabetes — University of Tartu
• Georgi Dzaparidze (2021) Quantification and evaluation of the diagnostic significance of adenocarcinoma-associated microenvironmental changes in the prostate using modern digital pathology solutions — University of Tartu
• Laura Päeske (2021) Assessment of Electroencephalographic Measures Applied in the Detection of Depression — Tallinn University of Technology
• Toomas Põld (2021) Application of Electroencephalographic Signal Based Measures for Early Detection of Depression Symptoms in Occupational Health — Tallinn University of Technology
• Kristi Krebs (2020) Exploring the genetics of adverse events in pharmacotherapy using Biobanks and Electronic Health Records — University of Tartu
• Ilya Kuzovkin (2020) Understanding information processing in human brain by interpreting machine learning models. A data-driven approach to computational neuroscience — University of Tartu
• Kristi Läll (2019) Risk scores and their predictive ability for common complex diseases — University of Tartu
• Vijayachitra Modhukur (2019) Profiling of DNA methylation patterns as biomarkers of human disease — University of Tartu
• Sulev Reisberg (2019) Developing computational solutions for personalised medicine — University of Tartu
• Elena Sügis (2019) Integration methods for heterogeneous biological data — University of Tartu
• Tõnis Tasa (2019) Bioinformatics approaches in personalised pharmacotherapy — University of Tartu
• Sander Pajusalu (2017) Genome-wide diagnostics of Mendelian disorders: from chromosomal microarrays to next-generation sequencing — University of Tartu
• Ruth Tomson (2017) Urea- and Creatinine-Based Parameters in the Optical Monitoring of Dialysis: The Case of Lean Body Mass and Urea Rebound Assessment — Tallinn University of Technology
• Tauno Metsalu (2016) Statistical analysis of multivariate data in bioinformatics — University of Tartu
• Raivo Kolde (2014) Methods for re-using public gene expression data — University of Tartu
• Madis Tiik (2012) Access Rights and Organizational Management in Implementation of Estonian Electronic Health Record System — Tallinn University of Technology
• Taavi Lai (2011) Population health measures to support evidence-based health policy in Estonia — University of Tartu
• Gunnar Piho (2011) Archetypes Based Techniques for Development of Domains, Requirements and Software: Towards LIMS Software Factory — Tallinn University of Technology
• Peeter Ross (2011) Data Sharing and Shared Workflow in Medical Imaging — Tallinn University of Technology