Digital health

Research on Digital Health combines Aalto University’s world-class research activities in ICT with the top expertise in medicine and other life sciences of the University of Helsinki and the Helsinki and Uusimaa Hospital District (HUS). By this combination, we are developing a globally leading research cluster. The Digital Health research subarea is mostly computer science-oriented; the hardware basis for digital information processing is covered separately.

The research in this subarea focuses on the following topics:

• Biomedical image analysis (Juho Kannala)
• Human-Computer Interaction (David McGookin)
• Computational Metabolomics (Juho Rousu)
• Computational Methods in Personalized Medicine (Samuel Kaski, Harri Lähdesmäki, Juho Rousu, Simo Särkkä, Aki Vehtari)
• Computational Systems and Synthetic Biology (Harri Lähdesmäki, Juho Rousu, Samuel Kaski)
• Data Analytics and Decision Support for Healthcare (Kimmo Kaski, Samuel Kaski, Ashish Kumar, Juho Rousu, Simo Särkkä, Aki Vehtari)
• Decision analysis, optimization, and risk management in healthcare (Pekka Malo, Pauliina Ilmonen, Ahti Salo, Eeva Vilkkumaa)
• Service Robotics for H&W (Ville Kyrki)
• Speech Communication Technology and Processing (Paavo Alku, Mikko Kurimo)
• Statistical Epidemiology (Aki Vehtari, Pauliina Ilmonen)

In addition, the following affiliated topics belong to the Digital Health subarea:

• Activity Games (Perttu Hämäläinen)
• Social Computing (Jari Saramäki, Aristides Gionis, Kimmo Kaski)
• Wearable cognitive assistance and virtual reality (Yu Xiao)

Major initiatives and projects related to the Digital Health subarea include:

• Molecular Systems Immunology and Physiology Research (Symmys) (2011-2017) – a Center of Excellence funded by the Academy of Finland
• Computational Inference Research (COIN) (2011-2017) – a Center of Excellence funded by the Academy of Finland
• Living Factories (LiF) (2014-2016) – a Tekes new strategic openings project in synthetic biology
• The Health Capital Cluster and Data-Driven Healthcare Initiative (2015-2016); a project funded by the Centennial Foundation of the Technology Industries of Finland
• Data-Driven Decision Support for Digital Health (2016-2017); a project funded by the Academy of Finland

Professors active in the area:

• Leo Kärkkäinen (Chair), Department of Electrical Engineering and Automation
• Paavo Alku, Department of Signal Processing and Acoustics
• Aristides Gionis, Department of Computer Science
• Keijo Heljanko, Department of Computer Science
• Perttu Hämäläinen, Department of Computer Science
• Pauliina Ilmonen, Department of Mathematics and Systems Analysis
• Juho Kannala, Department of Computer Science
• Kimmo Kaski, Department of Computer Science
• Samuel Kaski, Department of Computer Science
• Ashish Kumar, Department of Marketing
• Mikko Kurimo, Department of Signal Processing and Acoustics
• Ville Kyrki, Department of Electrical Engineering and Automation
• Harri Lähdesmäki, Department of Computer Science
• Pekka Malo, Department of Information and Service Economy
• David McGookin, Department of Computer Science
• Juho Rousu, Department of Computer Science
• Ahti Salo, Department of Mathematics and Systems Analysis
• Jari Saramäki, Department of Computer Science
• Simo Särkkä, Department of Electrical Engineering and Automation
• Aki Vehtari, Department of Computer Science
• Eeva Vilkkumaa, Department of Information and Service Economy
• Yu Xiao, Department of Communications and Networking

Please contact the professors directly, or, as a general contact, please approach either Leo Kärkkäinen (chair of the Digital Health professors’ group, email [email protected]) or Markus Mäkelä.