6.4.2022Finnish research team looks for risk factors of diseases associated with diabetes
15.2.2022Solutions for the secure use of data
9.12.2021Better artificial intelligence models to support care decisions
4.10.2021Identifying cancer from blood sample DNA using algorithms
20.9.2021Surfing towards open data integration - more information in the webinar 22 September 2021!
1.12.2020Supercomputers speed up the diagnosis of diseases
11.9.2020The artificial intelligence model can identify cancer from digitalised samples
22.6.2020Digitalisation is revolutionising pathology
4.6.2020ELIXIR launches new EU Project — B1MG
22.5.2020The artificial intelligence model searches breast cancer interacting gene variants
14.4.2020Metabolic changes caused by illness, diet or medication can be monitored and understood
23.3.2020Deep learning algorithms for breast cancer risk analysis
24.2.2020Artificial intelligence helps assess the risk factors for breast cancer
14.2.2020A trained dog can identify a smell of cancer
23.1.2020Looking for a Programme Coordinator - ELIXIR Finland
15.1.2020Approval of three new GA4GH standards supporting automation of the data access process
12.12.2019A Versatile Computing Platform for Life and Health Sciences
25.11.2019Bioinformatics calls for a lot of constantly updated courses and analysis software to support the work of researchers
13.11.2019SisuID authentication solution
8.10.2019Objective is to create an assessment, based on health data, of each person’s risk of cardiovascular diseases
10.9.2019To develop targeted treatments for venous diseases
6.9.2019Interested in a research visit to Europe or inviting a researcher to your group?
22.8.2019Access to numerous bioinformatics services through secure user ID management
5.7.2019A unique genetic background has enabled the study of rare diseases
16.6.2019VEIL.AI anonymises patient data better and faster than traditional methods
23.5.2019Electron microscope imaging of tissues and cells helps to understand interaction between cells
25.4.2019Mice are of great assistance in the study of human diseases
7.3.2019New infrastructure to facilitate bioimaging
1.3.2019New imaging techniques can be used to diagnose diseases
21.1.2019There is still work to do to achieve uniform data processing, analysis and principles of use
12.12.2018Clinical and research data collected on people help resolving the underlying genes behind various diseases
13.11.2018The underlying mechanisms of cardiovascular diseases are studied through genetic variation
12.11.2018Laura Elo and her research group develop methods to find different predictive markers for diseases
25.10.2018Finnish User Cases
1.10.2018Genomic data management services available as part of the ELIXIR infrastructure
12.9.2018The eSISu project securely stores the details in Finnish genomes to improve investigating hereditary diseases
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7.5.2018Finnish biobank operators discuss IT matters
24.4.2018Suitable drug and correct dosage with an interpretation algorithm
19.3.2018Bank of million patient samples getting bigger
20.2.2018Mapping the genomes of all organisms enables the development of new vaccines and medicines
7.2.2018REMS-software: ordered and secured
11.8.2017Better harvests via bio technology
2.11.2017Utilising genomic data in health care
400 million individuals in the world have diabetes. Half of them have diabetic complications as kidney disease, eye disease or, for example, diabetic foot. FinnDiane research project’s objective is to identify hereditary and environmental risk factors predisposing to diabetic complications.
FinnDiane, established by Professor Per-Henrik Groop in 1997, is a follow-up study participated in by almost 8,000 individuals with type 1 diabetes. The participants are recruited at 80 hospitals and health centres across Finland. It is one of the most extensive research materials on type 1 diabetes and associated complications in the world. Now, this material is used for sequencing the genome of 1,700 patients.
Genetic Epidemiologist Niina Sandholm at Folkhälsan Research Centre is involved in the FinnDiane research project, which is a collaboration project between University of Helsinki, Helsinki University Hospital (HUS) and Folkhälsan Research Center. According to Sandholm, the research results may help predict the risk of developing a condition or lead the way in developing new medicines.
– The broader goal of genetic research is to identify variants that affect the risk of developing a disease or directly cause a disease. This enables a better understanding of the causes of diabetic complications.
The ultimate goal is to learn to prevent and find cures to diseases associated with diabetes.
– Our aim is to read the entire DNA sequence of all patients. This will result in a huge amount of data, says Sandholm.
CSC provides the ePouta service for processing sensitive data. In the ePouta cloud service, virtual private servers operate on CSC’s computing platform under increased data security. The users receive dedicated cloud resources which are separated from CSC’s other computing environments. The FinnDiane research group uses the computing cluster of Institute for Molecular Medicine Finland (FIMM) which is connected to CSC’s sensitive data computing platform via the ePouta light path. By scaling the computing resources, the light path enables faster processing of the project data. In addition, the researchers have been allocated a remarkable amount of storage space to store the genomic data.
The research group has already sequenced the entire genomes of 600 patients. This study is one of the world’s first to sequence the entire genome this extensively with regard to a specific disease.
ELIXIR is partly funded by the European Commission