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
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Funding SchemeIMI2-RIA - Research and Innovation action