MELLODDY consortium
MELLODDY accelerates drug discovery by securely pooling insights from multiple pharma groups without sharing private data. It uses privacy-preserving federated learning to train predictive models on decentralised molecular data. Core technologies include machine learning, federated learning, and open-source tools, with collaboration among EFPIA members, academia, and industry partners. The project targets pharmaceutical companies and aims to improve efficiency and accuracy in drug development across Europe.
MELLODDY consortium
MELLODDY accelerates drug discovery by securely pooling insights from multiple pharma groups without sharing private data. It uses privacy-preserving federated learning to train predictive models on decentralised molecular data. Core technologies include machine learning, federated learning, and open-source tools, with collaboration among EFPIA members, academia, and industry partners. The project targets pharmaceutical companies and aims to improve efficiency and accuracy in drug development across Europe.