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Building a tool that analyzes unstructured data to match patients to clinical trials1-10 Employees
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Building a tool that analyzes unstructured data to match patients to clinical trials
We are building a tool that analyzes unstructured clinical data (e.g., doctor’s notes) in order to identify clinical trial opportunities for a patient. The product will present as a native module within a doctor's EHR software, in which physicians will receive auto-generated trial recommendations during patient consultations. They will have options to view details, share educational materials with a patient, and refer patients directly to local trial coordinators.
Before expanding broadly, we’re starting with a focus on neuropsychiatry, the second fastest-growing area of drug development and the field with the richest unstructured clinical data. This incremental approach enables us to build clinically precise, scientifically-validated matching algorithms that pharma and physicians can trust."
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