A consortium of pharmaceutical companies, academic researchers, and technology suppliers has announced a 3-year, $20 million project to apply machine learning and blockchain security to data management in drug development. The Machine Learning Ledger Orchestration for Drug Discovery (Melloddy) project aims to facilitate sharing of data from chemical libraries among competing drug firms.
“This project allows the pharma partners for the first time to collaborate in their core competitive space, invigorating discovery efforts through efficiency gains,” says Hugo Ceulemans, scientific director for discovery data sciences at Janssen Pharmaceutica and Melloddy project leader.
With funding from the Innovative Medicines Initiative, a partnership between the European Union and the European Federation of Pharmaceutical Industries and Associations, the consortium plans to develop a machine-learning model that will allow for the extraction of data from multiple databases without the creation of a common data bank, an application of artificial intelligence known as federated learning.
The platform is also designed to prevent proprietary information from leaking from one data set or model to another.
Blockchain technology, which establishes an encrypted ledger managed collectively by partners in a network, will be used to ensure data security. “The goal is to harness the collective knowledge of the consortium,” says Mathieu Galtier, a project manager at Owkin, the firm providing the blockchain software. The partners envision a collaborative platform for identifying the most effective compounds for drug development, “while protecting the intellectual property rights of the consortium contributors,” Galtier says.
The pharmaceutical companies partnering on Melloddy—Amgen, Astellas, AstraZeneca, Bayer, Boehringer Ingelheim, GlaxoSmithKline, Janssen Pharmaceutica, Merck KGaA, Novartis, and Institut de Recherches Servier—are joined by academic partners KU Leuven and the Budapest University of Technology and Economics. The five technology participants in the group include Owkin and Nvidia.