Virtual disease model for drug discovery

Learning how diseases respond to discover new medicines

Our approach

What we do

The best way to understand disease is to observe how it responds.

We are building a virtual disease model that learns how diseases respond across biological contexts. By predicting disease behavior rather than describing biological states, our platform helps discover new biology, generate new therapeutic hypotheses, and reveal opportunities that would otherwise remain hidden.

We are initially deploying the platform in oncology and will expand across diseases through internal discovery programs and partnerships.

Founders

Etienne Dumoulin

Machine learning and computational drug discovery

BioUnfold · LinkedIn

Erik Martin

Chemoproteomics and mechanism biology

Google Scholar · LinkedIn

Contact

contact@eidona.bio