Project description
Teaching machines to help with drug discovery
The pharmaceutical industry faces increasing challenges due to rapid advancement of technology coupled with increasingly stricter regulations. But the need for a proven, reliable and privacy-securing platform to enable industries to obtain information from competitive data is indispensable. The EU-funded MELLODDY project will demonstrate how the pharmaceutical industry can further exploit its data assets by using machine learning technologies to achieve drug discovery (DD) virtualisation. The project will use more than a billion private and competitive DD-related data and hundreds of Tbs image data assuring the strict privacy of the used material and will create an open service available to the sector.
Fields of science
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
75010 Paris
France
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Participants (16)
22309 Hamburg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1111 Budapest
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44000 Nantes
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
75017 Paris
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3000 Leuven
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2340 Beerse
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151 85 Sodertaelje
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TW89GS Brentford
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64293 Darmstadt
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55218 Ingelheim
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51373 Leverkusen
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4056 Basel
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2333 BE Leiden
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92150 Suresnes
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81477 Munchen
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8005 Zurich
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