Time: Aug 26th, 2021 12:00 – 16:00 PM (Finnish time) on Zoom
Opening
12.00 -12.05 Prof. Matti Nykter, TAU
12.05 – 12.15 Director of Tampere Institute for Advanced Study, Juha Teperi, TAU
Perspectives of SOC and MET faculties and Tampere University Hospital to health data science research
12.15 -12.25 Director of Research Tarja Laitinen, TAUH
12.25 -12.35 Dean, SOC/TAU, Juho Saari
12.35 – 12.45 Dean, MET/TAU, Tapio Visakorpi
Break 12.45 – 13.00
Talks from researchers related to real-world data in health data science Part I
13 – 13.10 Post doctoral research fellow Mari Aaltonen, TAU: The COCTEL study: use of register-based data in ageing research.
13.15 -13.25 Prof. Jaakko Nevalainen (collaboration with Prof.Hannu Saarijärvi, TAU) TAU: Experiences with large-scale loyalty card data in health research.
13.30 -13.40 Prof. Mark Van Gils, TAU: Data-driven adaptive interventions and AI-enhanced coaching to improve employee wellbeing and productivity.
Break 13.45-14
Talks from researchers related to real-world data in health data science Part II
14.00 – 14.10 Associate Professor, tenure track, Antti Vehkaoja, TAU: Optical and impedance pulse wave analysis in cardiovascular diseases.
14.15 – 14.25 Prof. Olli Kampman (collaboration with Prof. Martti Juhola, TAU), TAU/TAUH
Utilization of machine learning methods in the identification of risk factors for depression, diabetes and psychoses and in the development of treatment.
Break 14.30 – 14.45
Presentation of Health Data Science post doctoral researchers and talks from seed funded projects 14.45 – 16
Prof. Matti Nykter, TAU, presents newly selected post doctoral researchers and how seed funded projects were selected.
Prof. Esa Räsänen, TAU: Novel time series analysis methods for computational cardiology
Prof. (Tenure track) Antti Vehkaoja, TAU (in collaboration with Prof. Mark Van Gils, TAU, and Jari Viik, TAU): Unleashing the unique value of datasets for data-driven decision support in Cardiovascular Disease
Adj. Prof. Kirsi Granberg, TAU: Deep learning assisted classification of IDH mutant diffuse astrocytoma based on H&E staining
Huu Thuan Vo, MD, PhD, TAU: Applying Random Survival Forest to Estimate Vaccine Effectiveness against New SARS-CoV-2 Variants in Finland
Heikki Kiiski, MD, PhD,TAUH/TAU: Delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage: a multidisciplinary study combining machine learning with clinical data
Adj. Prof. Pekka Ruusuvuori, TAU (in collaboration with Adj. Prof. Teemu Tolonen, Fimlab): Text mining and weakly supervised AI for diagnostic support
Prof. Matti Nykter, TAU: Development of diagnostics decision support with data lakes
Prof. Juhana Frösen, TAUH/TAU: Microbiome as a risk factor for hemorrhagic stroke
Event ends 16.00