Antti Airola
D.Sc. (Tech.)
ajairo@utu.fi +358 29 450 4193 +358 50 517 8711 Vesilinnantie 5 Turku Työhuone: 456H ORCID-tunniste: https://orcid.org/0000-0002-1010-4386 |
data-analytiikka; koneoppiminen; tekoäly;terveysteknologia
Antti Airola, is an Associate Professor (tenure track) of data science in the area of Health Technology at the University of Turku. He has co-authored over 100 peer-reviewed articles, won multiple international data science competitions, and received several research excellence awards such as the the HATUTUS award for the best PhD thesis in the area of pattern recognition in Finland (2010 - 2011) and IEEE Computational Intelligence Society Outstanding Transactions on Fuzzy Systems Paper award (2015). He is currently working as responsible leader in several EU and Research Council of Finland funded research projects.
As of 2025, he is acting as a deputy head of the department of computing.
Airola's main research areas are in the area of machine learning and data science, especially their applications in the health domain.
Airola is currently responsible for teaching the course Data Analysis and Knowledge Discovery, as well as thesis supervision work (BSc, MSc, PhD). He has developed materials for and taught in many courses in the area of data and computer science, is responsible for developing the curriculum for both national BSc and MSc Medical and health technology programmes, as well as the international MSc programme in Health technology, and directs the AI Academy that coordinates AI related teaching between the faculties.
- Aperiodic parameters of the fMRI power spectrum associate with preterm birth and neonatal age (2026)
- Communications Biology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Evaluation of temporal preservation in synthetic longitudinal patient data (2026)
- Journal of Biomedical Informatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Patient Privacy in Differentially Private Diagnostic Models (2026) IWSPA '26 : Proceedings of the 12th ACM International Workshop on Security and Privacy Analytics Järv, Priit; Pahikkala, Tapio; Airola, Antti
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Predicting and Explaining Parenting Stress 3 Months After Birth Using Generalized Additive Model (2026)
- CIN: Computers Informatics Nursing
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Rethinking Trust in Synthetic Health Data: Lessons From 7 European Research Initiatives (2026)
- Journal of Medical Internet Research
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - Securing deep learning models with differential privacy for cardiovascular disease prediction (2026)
- Biomedical Signal Processing and Control
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Severe aortic stenosis detection using seismocardiography (2026)
- Open Heart
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Towards Inclusive AI System Development for Disease Risk Prediction: Collecting, Prioritising and Incorporating User Stories from Heterogeneous Stakeholders (2026)
- Lecture Notes in Computer Science
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - A Cascading Multi-Stage Deep Learning Approach for Detecting Chagas Disease from Electrocardiograms (2025)
- Computing in Cardiology
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Adoption of the OMOP CDM for Cancer Research: A prostate cancer use-case (2025) OHDSI Europe Symposium 2025 Hatzakis, Manos; Vidakis, Thanos; Montoya Perez, Ileana; Clinckaerts, Andries; Ettala, Otto; Högerman, Mikael; Movahedi, Parisa; Pahikkala, Tapio; Airola, Antti; Everaerts, Wouter; De Vos, Maarten; Chatzichristos, Christos
(Abstrakti)



