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.
Field of science
- /natural sciences/computer and information sciences/artificial intelligence/machine learning
Call for proposal
H2020-JTI-IMI2-2018-14-two-stage
See other projects for this call
Funding Scheme
IMI2-RIA - Research and Innovation actionCoordinator
75010 Paris
France
Participants (16)
22309 Hamburg
1111 Budapest
44000 Nantes
75017 Paris
3000 Leuven
2340 Beerse
151 85 Sodertaelje
TW89GS Brentford
64293 Darmstadt
55218 Ingelheim
51373 Leverkusen
4056 Basel
2333 BE Leiden
92150 Suresnes
81477 Munchen
8005 Zurich