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.
- Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets (2020)
- International Journal of Medical Informatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Measuring Player Retention and Monetization Using the Mean Cumulative Function (2020)
- IEEE Transactions on Games
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Propagating AI Knowledge Across University Disciplines- The Design of A Multidisciplinary AI Study Module (2020)
- Conference proceedings : Frontiers in Education Conference
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Prostate Cancer Risk Stratification in Men With a Clinical Suspicion of Prostate Cancer Using a Unique Biparametric MRI and Expression of 11 Genes in Apparently Benign Tissue: Evaluation Using Machine-Learning Techniques (2020)
- Journal of Magnetic Resonance Imaging
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Robust ECG R-peak detection using LSTM (2020) SAC '20: Proceedings of the 35th Annual ACM Symposium on Applied Computing Laitala J., Jiang M., Syrjälä E., Naeini E.K., Airola A., Rahmani A.M., Dutt N.D., Liljeberg P.
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Synthetic minority oversampling of vital statistics data with generative adversarial networks (2020)
- Journal of the American Medical Informatics Association
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers (2019)
- Data Mining and Knowledge Discovery
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Tournament leave-pair-out cross-validation for receiver operating characteristic analysis (2019)
- Statistical Methods in Medical Research
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A comparative study of pairwise learning methods based on Kernel ridge regression (2018)
- Neural Computation
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Fast Kronecker Product Kernel Methods via Generalized Vec Trick (2018)
- IEEE Transactions on Neural Networks and Learning Systems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - How engineers perceive the importance of ethics in Finland (2018)
- European Journal of Engineering Education
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Learning with multiple pairwise kernels for drug bioactivity prediction (2018)
- Bioinformatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Playtime Measurement with Survival Analysis (2018)
- IEEE Transactions on Computational Intelligence and AI in Games
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A/B-Test of Retention and Monetization Using the Cox Model (2017) Proceedings, The Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-17) Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - A community challenge for inferring genetic predictors of gene essentialities through analysis of a functional screen of cancer cell lines (2017)
- Cell Systems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Assessment of metal ion concentration in water with structured feature selection (2017)
- Chemosphere
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors (2017)
- PLoS Computational Biology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data (2017)
- Lancet Oncology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Circulating Cytokines Predict the Development of Insulin Resistance in a Prospective Finnish Population Cohort (2016)
- Journal of Clinical Endocrinology and Metabolism
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Comparison of automatic summarisation methods for clinical free text notes (2016)
- Artificial Intelligence in Medicine
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )



