MELLODDY aims to leverage the world’s largest collection of small molecules with known biochemical or cellular activity to enable more accurate predictive models and increase efficiencies in drug discovery. This project aims to enhance predictive Machine Learning models on decentralised data of 10 pharmaceutical companies, without exposing proprietary information.
EFPIA companies:
Amgen Research (Munich) GMBH, Munchen, Germany
Astellas Pharma Europe BV, Leiden, Netherlands
Astrazeneca AB, Södertälje, Sweden
Bayer Aktiengesellschaft, Leverkusen,
Germany Boehringer Ingelheim International GmbH, Ingelheim, Germany
Glaxosmithkline Research And Development LTD., Brentford, Middlesex, United Kingdom
Institut De Recherches Servier, Suresnes, France
Janssen Pharmaceutica Nv, Beerse, Belgium
Merck Kommanditgesellschaft Auf Aktien, Darmstadt, Germany
Novartis Pharma AG, Basel, Switzerland
Technology experts and universities:
Budapesti Muszaki Es Gazdasagtudomanyi Egyetem, Budapest, Hungary
Iktos, Paris, France
Katholieke Universiteit Leuven, Leuven, Belgium
Loodse GMBH, Hamburg, Germany
Nvidia Switzerland AG, Zurich, Switzerland
Owkin France, Paris, France
Substra Foundation, Nantes, France
Company Details
Founded
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Industry
Research Services
NAICS
Scientific Research and Development Services
Research and Development in the Physical, Engineering, and Life Sciences
Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
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