Novel time series analysis methods for computational cardiology. Prof. Esa Räsänen, Tampere University.
Unleashing the unique value of datasets for data-driven decision support in Cardiovascular Disease. Prof. (Tenure track) Antti Vehkaoja, Prof. Mark Van Gils, and Jari Viik, Tampere University.
Deep learning assisted classification of IDH mutant diffuse astrocytoma based on H&E staining. Adj. Prof. Kirsi Granberg, Tampere University.
Applying Random Survival Forest to Estimate Vaccine Effectiveness against New SARS-CoV-2 Variants in Finland.Huu Thuan Vo, MD, PhD, Tampere University.
Delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage: a multidisciplinary study combining machine learning with clinical data. Heikki Kiiski, MD, PhD, Tampere University Hospital/Tampere University.
Text mining and weakly supervised AI for diagnostic support. Adj. Prof. Pekka Ruusuvuori, Tampere University, and Adj. Prof. Teemu Tolonen, Fimlab.
Development of diagnostics decision support with data lakes. Prof. Matti Nykter, Tampere University.
Microbiome as a risk factor for hemorrhagic stroke. Prof. Juhana Frösen, Tampere University Hospital, Tampere University.