Accelerate the identification of rare diseases
accelRare® is a pre-diagnosis and differential diagnosis tool. Developed, tested and validated in collaboration with 67 European rare disease specialists across multiple disciplines.
3.5-5.9% of your patients may have a rare disease - but the diagnostic journey takes up to 10 years.1,2
Why? Rare diseases present with heterogeneous symptoms that overlap common conditions, and most HCPs see only a handful of cases in their entire career. accelRare® helps you identify which patients warrant further rare disease investigation - earlier in their journey.
How does accelRare® work?
You as a physician can fill in:
- Your patient's clinical symptoms
- Relevant medical history
- Available test results
Based on the input accelRare® provides 4 key elements to accelerate the pre-diagnoses:
- Differential diagnosis list - ranked rare diseases to consider
- Disease descriptions - key clinical features and presentations
- Potential next steps - additional tests to perform
- Referral pathways - specialist centres for definitive diagnosis
Clinical Validation & Reliability
- Developed with 67 European rare disease experts
- 89% reliability in identifying rare disease candidates
- Covers 310 rare diseases across multiple specialties
- Tested in real-world clinical scenarios
When to Use accelRare®
Consider using accelRare® when:
- Patient has unexplained symptoms despite standard workup
- Multiple organ systems are involved
- Symptoms began in childhood or have been chronic
- Family history suggests genetic component
- Standard differential diagnosis hasn't led to answers
Not a replacement for: clinical judgment, specialist consultation, or definitive diagnostic testing.
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accelRare® is a pre-diagnostic digital solution for rare diseases.
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accelRare® uses the medvir tool, certified as a Class I medical device in EU, for which Medical Intelligence Service is the manufacturer and Sanofi the distributor.
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Nguengang Wakap S, Lambert DM, Olry A, et al. Estimating cumulative point prevalence of rare diseases: analysis of the Orphanet database. Eur J Hum Genet 2020;28: 165–73. https://rdcu.be/dsqcg.
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Faye F, Crocione C, Anido de Peña R, et al. Time to diagnosis and determinants of diagnosticdelays of people living with a rare disease: results of a Rare Barometer retrospective patient survey. Eur J Hum Genet 2024;32:1116–26.
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