Case Study: Healx accelerates rare disease drug repurposing with DrugBank

How high-quality drug data helps Healx treat rare diseases

Healx, a company focused on treating rare diseases, needed high-quality, structured data to train the AI and machine learning algorithms powering its drug repurposing platform, Healnet. Sourcing and organizing this data from unstructured scientific publications was a slow and difficult process that threatened to delay their mission. DrugBank provided the solution with its comprehensive and machine-readable datasets.

DrugBank supplied Healx with detailed data on drug properties, targets, and indications, which was essential for producing accurate results. The structured format and use of standard identifiers allowed for easy integration. By using DrugBank's data, Healx can efficiently identify potential treatments and is on track to advance 100 rare disease treatments toward the clinic by 2025, dramatically accelerating the drug discovery timeline.

Healx

Richard Smith

Senior Software Engineer