| Project Title | Japanese Principal Investigator (PI) | Position and Institution | Abstract of Research Project | |
|---|---|---|---|---|
| Finnish Principal Investigator (PI) | ||||
| Genomics, bioinformatics and systems medicine to facilitate therapy of ovarian cancer | Johji Inazawa | Professor, Department of Molecular Cytogenetics, Tokyo Medical and Dental University |
This project aims at detecting fundamental molecular changes in malignant ovarian cancer (OVCA) cells as a model disease and establishing bioinformatics pipelines to improve therapeutic strategies in the treatment of serious OVCA. This project will lead to advancements in personalized medicine for cancer treatment. The Japanese and Finnish groups have existing infrastructures and facilities for bio-banking, genome/gene-expression analysis, and metabolomic analysis. Both groups will share these resources for this project while maintaining full acknowledgment of the ethical considerations. This collaboration is expected to establish new medical treatments that can be selective based on molecular profiling of patientsf cancers, and will contribute to the improvement of their quality of life. |
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| Olli P. Kallioniemi | Professor, Director, Institute for Molecular Medicine Finland, University of Helsinki |
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| Privacy-preserving genetic@data analysis for personalized medicine | Kana Shimizu | Senior Research Scientist, Computational Biology Research Center, National Institute of Advanced Industrial Science and Technology (AIST) |
The aim of this study is to develop novel technologies which allow efficient analysis of large personalized genome data while it guarantees privacy of the data donors. We will accomplish this by combining cryptographic techniques and machine learning techniques. The Japanese group will develop new cryptographic techniques as well as efficient search algorithms which will serve as building blocks for the genome analysis technologies. The Finnish group will develop new technologies of genome analysis suitable for integrating cryptographic techniques. This collaboration is expected to build the practical foundations of new technologies that will enable both "genome-privacy protection" and "advanced information analysis", and will accelerate the effective utilization of genome information. |
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| Antti Honkela | Academy Research Fellow, Helsinki Institute for Information Technology, University of Helsinki |
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| Bioinformatics platform for predicting autologous cell therapy efficacy in patients with heart failure | Yoshiki Sawa | Professor, Department of Cardiovascular Surgery, Osaka University Graduate School of Medicine |
This study aims at the integration of scientific knowledge of regenerative medicine in heart disease, and the building of infrastructures for bioinformatics data, which will be internationally accessible.
The Japanese group will prepare iPS cells derived from patients with heart failure. The Finnish group will collect samples and analyze their gene-expression. This joint project will also build a database on the correlation between cardiac function and gene-expression. This collaboration is expected to discover new biomarkers that enable the prediction of the effects of cell transplantation therapies in heart failure patients, and will establish an international data system offering useful information for cell transplantation therapies for various diseases. |
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| Esko M. Kankuri | Lecturer, Institute of Biomedicine, University of Helsinki |
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