The science and tech behind your clarity.
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Years old
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Sex
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Ethnicity
Medical research shows that age, sex, and ethnicity significantly influence disease prevalence. A 22-year-old female presents differently than a 60-year-old male for the same symptom. Your profile helps our engine prioritize the most statistically relevant conditions for you.
We don't guess - we retrieve. When you describe symptoms, our RAG pipeline queries a validated medical knowledge base in real time. Instead of relying on a static AI model alone, we fetch the most relevant clinical data and let the AI reason over evidence, not memorisation.
This means results stay current with medical literature and reduce hallucination.
Our symptom-to-condition mapping is built from peer-reviewed medical literature. Condition details are enriched with data from MedlinePlus (U.S. National Library of Medicine) - the same source doctors trust.
Every condition page has a community discussion board where real users share experiences, coping strategies, and support. Ask questions, read how others manage the same symptoms, or just know that someone else gets it.