12.45 Coffee
Opening
13-13.15 Update on the health data science strategic profiling and seed funding announcement. Prof. Matti Nykter, Faculty of Medicine and Health Technology, TAU.
13.15 – 14.00 Talks Part I
13.15.-13.30 Physiological exercise thresholds with advanced data analytics. Prof. Esa Räsänen, Faculty of Engineering and Natural Sciences, TAU.
13.30-13.45 Detection of critical transitions in neuronal systems. Subramanyam Narayan, Postdoctoral Research Fellow, Faculty of Medicine and Health Technology, TAU.
13.45-14.00 Development of a complete neuromorphic pipeline for motor imagery EEG classification. Praveen Dedigamage, PhD student, Faculty of Medicine and Health Technology, TAU.
14.00-14.30 Break and refreshments
14.30-16.00 Talks Part II
14.30-14.45 ProKG – A knowledge graph for specialized and explainable artificial intelligence in prostate cancer. Xin Lai, Assistant Prof., Faculty of Medicine and Health Technology, TAU.
14.45-15.00 GenAI-powered synthetic data toolbox for health science. Janika Ranta, Research assistant, Faculty of Information Technology and Communication Sciences, TAU.
15.00-15.15 PRIMUS – a nationwide register-based study on inappropriate drug prescriptions, disease patterns and their health consequences in Finland. Anna-Leena Vuorinen, Assistant Prof., Faculty of Social Sciences, TAU.
15.15-15.30 Deep learning-based cancer immunoscoring from histopathological images. Maryam Mohammadlou (replacing Kirsi Rautajoki), PhD student, Faculty of Medicine and Health Technology, TAU.
15.30-15.45 Data-driven decision support for Unruptured Intracranial Aneurysm. Iftehaz Newaz, Research assistant, Faculty of Medicine and Health Technology, TAU.
15.45-16.00 Human-centered health technology. Prof. Markku Turunen, Faculty of Information Technology and Communication Sciences, TAU.