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A cluster analysis and an animal model of geographic atrophy, the features of BMF’s contribution to EURETINA 2017

euretina 2017

The schedule for EURETINA 2017 includes the presentation of a poster related to the European EYE-RISK project. In this, Dr Marc Biarnés will explain “Geographic atrophy phenotypes using cluster analysis” (POS-41688), which establishes a new patient classification according to the stage of the progression of geographic atrophy and of the eye fundus. These are key characteristics in the prognosis of the disease with regard to optimal eligibility in clinical trials and phenotype-genotype correlations. These results have been presented as part of the EYE-RISK.

The Congress will take place in Barcelona for the third time in its 17-year history. At the event on 7-10 September, Dr Jordi Monés will present the results of the study “A swine model of selective geographic atrophy of outer retinal layers mimicking atrophic age-related macular degeneration” (POS-43339), which has been published in the journal Investigative Ophthalmology & Visual Science. The research led by the BMF has created a tool that is of use in the research of new regenerative therapies for the recovery of the visual function through cell therapy.

A tool that is of use in the research of new regenerative therapies

The European Society of Retina Specialists is the most important European Association of retina specialists. Each edition of its reference Congress serves to share the latest discoveries in diagnosis and treatment of ocular diseases related to this region of the eye.

As the representatives of a pioneering institution for research into AMD, Stargardt’s disease and Retinitis Pigmentosa, BMF’s professionals will attend EURETINA 2017 in order to network with the researchers of other international research centres. If you would like to exchange your knowledge and experiences with members of the team, we can schedule a meeting during the Congress. All you need to do is contact us.

eye-risk-project

EYE-RISK is funded by the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement 634479.

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