Subject: Big Data: Fueling the transformation of Europe's Healthcare Sector. Last seats available!

                                                                                                         Newsletter No. 3 - August 2019 |  View online
Big Data for Medical Analytics
Big Data: Fueling the transformation of Europe's Healthcare Sector

The BigMedilytics project will organize the event “Big Data: Fueling the transformation of Europe’s Healthcare Sector” on the 4th and 5th of September in Valencia (Spain). The event will involve organizations covering the key players in the healthcare sector such as healthcare providers, health technology companies, payers, research institutes and academia from across Europe. Last seats avilable!
The project, nominated in the BDVe “Success story award” contest

Two success stories from the BigMedilytics project were nominated for the BDVe “Success story award” contest on the score of the BDV PPP Summit last June in Riga, Latvia.
BigMedilytics at the ‘2nd Big Data for Precision Medicine Symposium’

The BigMedilytics project was presented at the ‘2nd Big Data for Precision Medicine Symposium (BDPM 2019)’ last June in Córdoba, Spain.

The BigMedilytics’ recommendations highlighted in an EC workshop

Prof. Dr. med. Klemens Budde from Charité informed the EC about the infographics on regulations for big data technologies in the healthcare sector in European countries.
Big Data technologies to reduce morbidity and mortality in Chronic Diseases and Conditions

Learn more about the pilot Comorbidities within the theme Population Health and Chronic Disease Management tackled by the BigMedilytics project. 

New deliverable available!
A new document under the title Updated prototypes of specific components for all BigMedilytics pilots addresses an update of the specific components to create the BigMedilyticsBigMatrix, a mapping between the requirements and the technical components that will ensure that concepts presented in the pilots can be easily scaled and replicated in Europe.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 780495. These contents reflects only the consortium’s view. The European Commission is not responsible for any use that may be made of the information.
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