Privacy-preserving AI/ML to foster open science in pharmaceutical companies
We've developed a tool to encrypt our AI/ML models in order to encourage pharmaceutical companies to contribute their data to the open domain without compromising their IP. This project has received the support of a Merck BioPharma Speed Grant.
Modelling and encryption tools
We provide ZairaChem, our automated AI/ML tool for chemistry, and ChemXOR, an AI/ML model encryption tool.
Using ChemXOR & ZairaChem, pharmaceutical companies can train encrypted AI/ML models end-to-end.
Models can be hosted in the cloud in their encrypted form. Either the data provider, Ersilia, or a third party can act as model hosts.
Users can query models. Privacy of user queries is also ensured by ChemXOR, so that the identity of the queries is not revealed to the host.
All code repositories
Browse a selection of our GitHub repositories to find more about specific projects, read the code and contribute!