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AI-Driven Genotype Prediction Using EHR and Multimodal Data

Recruitingn/aAges any - anyAllThe Eye Hospital of Wenzhou Medical University
NCT06791421 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

The goal of this clinical study is to explore the potential of using electronic health records (EHR) and multimodal data (such as imaging, lab results, and clinical history) to predict a patient's genotype. The study will evaluate whether predictive models based on this non-genetic data can accurately infer genetic information, which traditionally requires direct genetic testing.

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📋 Eligibility rules (as published)
Inclusion Criteria: 1. Participants must have comprehensive electronic health records (EHR), including medical history, lab results, and relevant imaging data (e.g., X-rays, MRIs, CT scans). 2. Participants must have existing genetic testing data available for comparison, if applicable. 3. Participants must be willing to provide consent for the use of their health data in the study. 4. Participants must have no active intervention related to genetic testing or prediction during the study period. 5. Participants should have complete and verifiable health data to allow for accurate prediction by the AI model. Exclusion Criteria: 1. Participants without available EHR, lab results, or imaging data. 2. Participants with ambiguous, inaccurate, or unverifiable genetic testing results that cannot be used for comparison. 3. Patients with significant discrepancies or missing data that would prevent the AI model from making accurate predictions.
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What it tests

  • AI-Predictng Model
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Where

4 sites
Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University
Guangzhou, China
Sun Yat-sen University Cancer Hospital
Guangzhou, China
First Affiliated Hospital of Wenzhou Medical University
Wenzhou, China
Second Affiliated Hospital of Wenzhou Medical University
Wenzhou, China
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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