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Lausanne

Picterra’s AI Tool Helps Users Analyse Satellite Images with Peer Support

Innovator of the Month Interview by Adele Fanelli and Caterina Bigoni   The Swiss start-up Picterra, based in Lausanne recently released the beta version of their software for Earth observation. This AI based tool not only makes it easier to analyse drone or satellite images, it is also a platform for peer cooperation, moving theaaa

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Lausanne

Pryv Offers an Easier Way to Safely Manage Personal Data

Innovator of the Month Interview by Veronica Bianchi and Beatrice Volpe   GDPR put the spot light on data protection, which has become an increasingly important issue for both individuals and corporations. The Swiss company Pryv SA offers a data management solution designed to help companies comply with regulatory requirements. Recent events over privacy andaaa

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Lausanne

QGel, a Tiny Extracellular Matrix Gel with a Big Ambition: Making Cancer a Manageable Disease

Innovator of the Month Interview by Alessia Baldo and Martina Genta   QGel is a Swiss start-up based at Lausanne’s Innovation Park, which develops synthetic extracellular matrices (ECM) for the growth of cells outside the body. The ECM is an important material that surrounds cells of the human body, which helps regulate tissue development andaaa

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Lausanne

“Personalized Healthcare” Conference

Innovation Forum Lausanne together with their local partner Cabinet Privé de Conseils (CPC) today published Press Release about their fourth Annual Conference entitled “Personalized Healthcare: Big Data and Technologies for tailored Therapies and Prevention”. Some extracts below:   Industry and academic leaders discuss personalised healthcare and the role of Big Data and technologies · Innovationaaa

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October 23rd 17:30 – 20:00

IMAGINE IF! Lausanne Launch Event

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October 2018:

Picterra’s AI Tool Helps Users Analyse Satellite Images with Peer Support

Innovator of the month interview with Frank de Morsier, CTO & Co-Founder of Picterra

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Pryv Offers an Easier Way to Safely Manage Personal Data

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