Case Study:
Patient Identification for Rare Disease
How AI is helping find patients with rare diseases quickly
The Client
- Had a 3rd Line Cancer product
- Many patients died at 2L so the 3L patients were rare and difficult to find
The Solution
- Developed an approach using AI/ML/NLP to analyse patient record data to identify which currently alive 2L patients had the highest probability of surviving to 3L and require the client’s drug.
- Created a visualization of all potential patient locations from doctor ID
The Outcome
- Was able to find much larger numbers of patients than expected. Drug peak sales was expected to be $3 billion but achieved that within first year.
To achieve these kinds of results, contact Eularis today.
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