Before reaching out to trial coordinators, using AI to pre-screen your eligibility against inclusion and exclusion criteria can save both you and researchers time. This works best when you provide accurate, complete information about your medical history, medications, and lab values.
Clinical trial eligibility pre-screening is the process of evaluating whether a patient may qualify for active research studies based on published inclusion and exclusion criteria before investing time in a formal enrollment inquiry.
AI can help patients with complex or treatment-resistant conditions systematically compare their diagnosis history, lab values, and prior treatments against trial criteria listed on registries like ClinicalTrials.gov, making it faster to identify promising options to raise with their care team.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
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