Research at the Institute of Biomedicine is divided into three functional units: 1) Infection and Immunity, 2) Integrative Physiology and Pharmacology and 3) Cancer research. Research at our Institute includes both biomedical basic research and translational research, and the unit division expresses our research priorities.
We encourage creative interdisciplinary combination of research topics via collaboration of the individual research groups and the three units. In addition, we collaborate locally with clinical researchers, with other institutes of our university and with the Åbo Akademi University. We are also widely networked with numerous national and international universities and public and private research institutes.
Research services
Recent publications
Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries (2021)
Nature Communications
(Refereed journal article or data article (A1))
Beta cell function in participants with single or multiple islet autoantibodies at baseline in the TEDDY Family Prevention Study: TEFA (2021)
Endocrinology, Diabetes and Metabolism
(Refereed journal article or data article (A1))
Frailty modeling under a selective sampling protocol: an application to type 1 diabetes related autoantibodies (2021)
Statistics in Medicine
(Refereed journal article or data article (A1))
Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression-Morphology Analysis in Breast Cancer (2021)
Cancer Research
(Refereed journal article or data article (A1))
A novel automated tower graph based ECG signal classification method with hexadecimal local adaptive binary pattern and deep learning (2021)
Journal of Ambient Intelligence and Humanized Computing
(Refereed journal article or data article (A1))
Recent doctoral dissertations
Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries (2021)
Nature Communications
(Refereed journal article or data article (A1))
Beta cell function in participants with single or multiple islet autoantibodies at baseline in the TEDDY Family Prevention Study: TEFA (2021)
Endocrinology, Diabetes and Metabolism
(Refereed journal article or data article (A1))
Frailty modeling under a selective sampling protocol: an application to type 1 diabetes related autoantibodies (2021)
Statistics in Medicine
(Refereed journal article or data article (A1))
Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression-Morphology Analysis in Breast Cancer (2021)
Cancer Research
(Refereed journal article or data article (A1))
A novel automated tower graph based ECG signal classification method with hexadecimal local adaptive binary pattern and deep learning (2021)
Journal of Ambient Intelligence and Humanized Computing
(Refereed journal article or data article (A1))