Centre of Excellence in Molecular Systems Immunology and Physiology Research Group, SyMMys

Organization profile

Profile Information

The overall objective of the CoE is to understand the molecular mechanisms that control the immune system as well as the interactions between the immune system and other physiological systems in health and disease. This information may help in prevention and treatment of inflammatory and immune-mediated disorders. The CoE will focus especially on type 1 diabetes. Along the way, the research will generate new knowledge of the role of metabolism in early stages of autoimmune diseases as well as reveal novel molecular mechanisms.
 
The Centre of Excellence (CoE) is directed by Professor Mikael Knip from the University of Helsinki. Professor Harri Lähdesmäki from the Aalto University School of Science is leading the research group in the CoE.
Read more (http://symmys.fi)

Fingerprint Dive into the research topics where Centre of Excellence in Molecular Systems Immunology and Physiology Research Group, SyMMys is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

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    Research Output

    A personalised approach for identifying disease-relevant pathways in heterogeneous diseases

    Somani, J., Ramchandran, S. & Lähdesmäki, H., 1 Dec 2020, In : npj Systems Biology and Applications. 6, 1, 17.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • Deep Convolutional Gaussian Processes

    Blomqvist, K., Kaski, S. & Heinonen, M., 1 Jan 2020, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings. Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M. & Robardet, C. (eds.). SPRINGER , p. 582-597 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11907 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  • Learning spectrograms with convolutional spectral kernels

    Shen, Z., Heinonen, M. & Kaski, S., 2020, (Accepted/In press) The 23rd International Conference on Artificial Intelligence and Statistic. (Proceedings of Machine Learning Research).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Activities

    • 7 Conference presentation
    • 3 Visit abroad
    • 2 Public or invited talk
    • 1 Participant of a conference, workshop, session or tutorial

    Bayesian Metabolic Flux Analysis reveals intracellular flux couplings

    Maria Osmala (Speaker)
    22 Jul 201923 Jul 2019

    Activity: Talk or presentation typesConference presentation

    Enhancer prediction in the human genome using supervised probabilistic modelling of epigenetic data

    Maria Osmala (Speaker)
    22 Jul 201923 Jul 2019

    Activity: Talk or presentation typesConference presentation

    StanCon

    Maria Osmala (Member)
    29 Aug 201831 Aug 2018

    Activity: Participating in or organising an event typesParticipant of a conference, workshop, session or tutorial

    Press / Media

    Could bacteria-attacking viruses hold a clue to obesity?

    Tommi Vatanen

    15/03/2020

    3 items of Media coverage

    Press/Media: Media appearance

    University of Auckland welcomes Te Pūtea Rangahau a Marsden 5 November 2019

    Tommi Vatanen

    05/11/2019

    1 item of Media coverage

    Press/Media: Media appearance

    New findings about the gut microbiome in infants and children

    Tommi Vatanen

    04/06/2019

    1 item of Media coverage

    Press/Media: Media appearance