DrugMATCH

AI drug positioning engine

Applying AI to match a drug asset with new indications or subpopulation of existing indications
See how it works
Challenge

90% of blockbuster medicines only work for 30-50% of patients

  • Lack understanding of TME and drug mechanism of action
  • Incomplete knowledge of clinical heterogeneity
  • Testing all possible drug combinations is impractical
Solution

Owkin’s DrugMATCH

  • DrugMATCH is a suite of end-to-end tools that uses knowledge graphs, graph machine learning, biomedical literature and multimodal patient data to identify novel disease indications and associated subgroups for a given drug

AI drug positioning

Why work with Owkin?

graph machine-learning expertise
Carefully constructed knowledge graphs

Expert team of biologists, medical experts and data scientists combine multiple data modalities to build quality knowledge graphs and disease maps.

World-class graph machine-learning expertise
World-class graph machine-learning expertise

We use graph neural networks & advanced interpretable AI to identify key regulators and high/low responder subgroups.

Carefully constructed knowledge graphs
Unmatched access to patient data

Our AI is powered by patient data to capture disease heterogeneity and the TME for a multiscale understanding of disease biology.

Work with us