The eHealth Lab – Intensive Study Programme

Are you a higher education student searching for the opportunity to share your idea? Do you want to be a future innovator and entrepreneur to develop a world-class solution to societal challenges and create growth and skilled jobs? We designed this Intensive Study Programme to provide you with a complete overview of eHealth, guiding you […]

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#2 Newsletter – CONNECT Multiplier Events

We are so thrilled to announce our first ONSITE events since the pandemic! Whether you are a conference veteran or a first-time attendee, we are delighted to welcome you to the CONNECT Project Multiplier Events. Events that will challenge you to meet like-minded individuals and find solutions that could improve the health and lives of […]

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#1 Newsletter of the CONNECT eHealth Community

We’re excited to announce we bring to our community curated insights and news with our monthly newsletter! Be sure to subscribe on our website to receive all of the latest healthcare happenings and Project news. You can check out this month by clicking the document below: #1 Newsletter of the CONNECT eHealth Community (English version) […]

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3rd Transnational meeting

The third online Transnational Meeting for the Erasmus+ Project “Cooperation and training on innovation and entrepreneurship in the eHealth community” (CONNECT) was held via Zoom on December 6th, 2021, by INIT Association. All project consortium partners – Babeș-Bolyai University (BBU), INIT Association (INIT), University of Porto (UPORTO), and European Initiative for Education (EBI) – were […]

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The FAIR data principles for health data analytics

In 2016, the “FAIR Guiding Principles for scientific data management and stewardship” were published in Scientific Data. The authors intended to provide guidelines to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets. The principles emphasise machine-actionability (i.e., the capacity of computational systems to find, access, interoperate, and reuse data with none or minimal […]

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