The second Datathon training took place in Brest together with the project SC meeting (4-5 October 2017). 23 researchers participated in this event kindly organized by Jacques-Oliver Pers from UBO.
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Inflammatory autoimmune diseases such as rheumatoid arthritis and lupus affect 1-3% of the population, and while treatments exist, these are costly and have a number of serious side effects. There is growing evidence that many of these conditions may be incorrectly classified. The PRECISESADS project will study 2 500 people with various autoimmune diseases, gathering data on the molecular causes of their disease as well as their clinical symptoms. Using this information, they will pave the way for a new classification of these diseases, something that will allow doctors to offer patients more personalised treatments at an earlier stage of their disease.
PRECISESADS http://www.precisesads.eu/, an IMI funded project, has now recruited over 2000 people into its pan-European cross sectional clinical study of systemic autoimmune diseases such as rheumatoid arthritis and lupus. This milestone means that the project is well on track towards its goal of recruiting a total of 2 500 people from across 9 European countries.
"Novel Therapies in Autoimmune Diseases" LACA 2017, the 5th Latin American Congress on Autoimmunity will be held in the serene…
On 25th April, selected colleagues from both the IMI Taxonomy Call Consortiums, PRECISESADS & AETIONOMY, met in Berlin at Bayer…
To take place in San Diego. More information
General information, list of patients associations, …
This website reflects only the author’s views and neither IMI nor the European Commission are liable for any use that may be made of the information contained therein.
PRECISESADS receives support from the Innovative Medicines Initiative Joint Undertaking under grant agreement n° , resources of which are composed of financial contribution from the European Union’s Seventh Framework Programme (FP7/2007-2013) and EFPIA companies’ in kind contribution.
Molecular Reclassification to Find Clinically Useful Biomarkers for Systemic Autoimmune Diseases