Research collaboration
For investigators interested in clinical AI evaluation, laboratory-result communication, reproducibility, human factors, or independent validation of ClearVeillance research.
ClearVeillance is developing rules-based approaches to laboratory-result interpretation and studying how clinical AI can be made more reliable, reproducible, and useful. We welcome conversations with researchers, clinicians, health systems, industry partners, funders, and others working on related problems.
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For investigators interested in clinical AI evaluation, laboratory-result communication, reproducibility, human factors, or independent validation of ClearVeillance research.
For physicians, practices, and clinical organizations interested in evaluating ClearVeillance in a controlled pilot or research setting.
ClearVeillance is in research and development and is not presented as cleared, clinically validated, or generally available for clinical deployment.
For health systems, employers, health plans, technology organizations, and other groups interested in rules-based laboratory interpretation or clinical-AI collaboration.
For organizations or individuals interested in supporting ClearVeillance research, validation, or responsible development.
For journalists, editors, podcasters, and other media professionals seeking information about ClearVeillance or the Yardstick research.
For inquiries that do not fit one of the categories above.
You may contact Edward A. Rose, M.D., M.S.A., directly at contact@clearveillance.com.
This mailbox is not monitored for urgent medical concerns. ClearVeillance cannot provide medical advice or interpret an individual visitor’s laboratory results through this website or email.