The Clinical Research Exchange

Clinical research has problems. We find the people who solve them.

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Curated clinical solutions.
Built to be useful.

Discover focused tools and capabilities without buying into an entire software ecosystem. Some are ready to use; others can be configured or integrated when needed.
CDM Data Quality Application product preview
Data Quality & CleaningData Review / Cleaning
Platforms
Applicable Systems
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CDM Data Quality Application

A CDM-aligned workspace for issue detection, prioritization, traceability and data-driven review
End-to-end review model • Dashboard = summary + navigation • Data Review = issue-level working area • Raw Data = traceability to the original record • Business Rules = governance and rule coverage • AI Query = flexible natural-language exploration
TL
Thomas LeungPresident
Cerberus product preview
AI / Machine LearningAnalysis / Reporting
Platforms
Applicable Systems
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Cerberus

Building a traceable foundation for connected research data.
An in-development platform designed to connect document evidence and structured study data while preserving source lineage, with clinical-trial analysis and operational scenario modeling as its first demonstration use case.
JH
Justin HowardTechnology Builder | Creator of Cerberus & Protocol Intelligence
DecisionLENS product preview
AI / Machine LearningPlanning / Design
Platforms
Applicable Systems
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DecisionLENS

AI-powered clinical trial enrollment forecasting and data quality monitoring built on public ClinicalTrials.gov data
Predict trial enrollment success, identify risk drivers with SHAP, and flag restrictive eligibility criteria using LLM analysis. An agentic v2 adds data quality monitoring with multi-source cross-validation. Live demos on public AACT data.
Y
YuanLead Data Scientist | Clinical AI & LLM Systems
CRF Annotator product preview
Electronic Data Capture / eCRFPlanning / Design
Platforms
Applicable Systems
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CRF Annotator

Annotate CRFs to SDTM in the browser — with a stated reason on every label.
An offline-capable tool that turns a blank CRF PDF into an SDTM-annotated CRF. It suggests the domain and variable for each field from three sources—an exact rule table, the field's position in the form (section heading and table column), and a local biomedical language model—marks which source each suggestion came from and records why. Reviewers accept, correct, or reject in place and export the annotated PDF, Excel, CSV, and a PDF audit report.
HY
Hongbin Yang
Edit Check Harmonization product preview
Clinical Data ManagementCross-Study / Enterprise
Platforms
Applicable Systems
Medidata Rave
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Edit Check Harmonization

Bringing consistency to edit checks across studies
Identifies semantically similar edit checks across studies to uncover variation and improve cross-study consistency.
Alec Schmutte profile
Alec SchmutteSenior Clinical Data Standards Lead
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