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Institute for Molecular Medicine Finland
Nordic EMBL Partnership for Molecular Medicine

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29.05.2020

The extent and impact of human genomic variation revealed by the Genome Aggregation Database, gnomAD, consortium

06.05.2020

Gene variants that protect against glaucoma identified, opening therapeutic possibilities

09.04.2020

Common disease prevention and cancer screening would benefit from genomic risk assessment

08.04.2020

Sailalitha Bollepalli’s dissertation reveals the epigenetic signature of smoking and weight-loss

06.04.2020

New version of the SynergyFinder web-tool is available

19.03.2020

A high-resolution approach to multi-dimensional clonal phenomics

16.03.2020

COVID-19 Host Genetics Initiative

13.03.2020

FIMM is taking proactive measures regarding the COVID-19 outbreak

28.02.2020

Balaguru Ravikumar’s dissertation demonstrates the value of computational frameworks on interpreting large-scale drug screening data

27.02.2020

FinnGen wel­comes Janssen and Maze Thera­peut­ics

Highlights

Gene variants that protect against glaucoma identified, opening therapeutic possibilities

An international research collaboration led by researchers from the University of Helsinki and Stanford University has identified rare changes in a gene called ANGPTL7 that lower intraocular pressure and significantly reduce the...

Common disease prevention and cancer screening would benefit from genomic risk assessment

A new Finnish study demonstrated the benefits of large-scale genomic information in estimating the risk of onset for cardiac diseases, diabetes and common cancers. The findings, based on the FinnGen research dataset encompassing...

FinnGen wel­comes Janssen and Maze Thera­peut­ics

FinnGen, a large-scale academic – industry, genome research collaboration in Finland coordinated by FIMM researchers now includes eleven industry partners with the addition of the Janssen Pharmaceutical Companies of Johnson...

Ma­chine learn­ing de­creases ex­per­i­men­tal costs of drug com­bin­a­tion screen­ing for trans­la­tional ap­plic­a­tions

FIMM researchers have developed an efficient machine learning model that requires only a limited set of dose-response measurements for accurate prediction of drug combination synergy in a given patient sample. The minimal-input...

ASHG TV 2019: FIMM

WebsEdge/Health presents ASHG TV 2019. Highlights and conference news from The American Society of Human Genetics (ASHG) Annual Meeting - Sharing Discoveries. Shaping our Future

Upcoming events

28.02.2020 Balaguru Ravikumar's Doctoral Defence

Balaguru Ravikumar will defend his doctoral dissertation entitled "Computational frameworks to aid pharmacological studies: Tools, Databases and Prediction models"

Latest publications

F13A1 transglutaminase expression in human adipose tissue increases in acquired excess weight and associates with inflammatory status of adipocytes. Read full article
The non-traditional and familial risk factors for preeclampsia in the FINNPEC cohort. Read full article
Analysis of shared common genetic risk between amyotrophic lateral sclerosis and epilepsy. Read full article
An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs. Read full article
A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy. Read full article

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About FIMM

The mission of the Institute is to advance new fundamental understanding of the molecular, cellular and etiological basis of human diseases. This understanding will lead to improved means of diagnostics and the treatment and prevention of common health problems. Finnish clinical and epidemiological study materials will be used in the research. Learn more about FIMM.

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