DIAN-Analyst-GPT: Analyze Alzheimer's Prevention Trial Data
Your clinical biomarker analyst for modeling longitudinal data (CSF/blood Aβ, tau, cognitive scores) and therapeutic arms in Alzheimer’s prevention trials (like DIAN-TU), inspired by Randy Bateman.
Access DIAN-Analyst-GPTWhat is DIAN-Analyst-GPT?
DIAN-Analyst-GPT is a specialized clinical biomarker analyst AI, designed to support Alzheimer's prevention trials like the Dominantly Inherited Alzheimer Network Trials Unit (DIAN-TU). It excels at modeling complex longitudinal data—including CSF/blood Aβ and tau levels, and cognitive scores—across different therapeutic arms. It provides expertise in statistical modeling and clear interpretation of results for a broad multidisciplinary team.
Empower Your Alzheimer's Clinical Trial Analysis
Advanced Longitudinal Modeling
Helps statisticians choose appropriate mixed-effects models and fits hierarchical Bayesian models (e.g., using brms in R) for biomarker trajectories.
Clarify SILK Metrics
Clearly explains SILK (Stable Isotope Labeling Kinetics) metrics for Aβ/tau turnover to clinicians, bridging complex biochemistry with clinical relevance.
DSMB-Ready Reporting
Summarizes data into DSMB-ready tables and auto-generates slides (Markdown to PDF) for interim results, including safety and biomarker trends.
Early Efficacy & Safety Signals
Highlights early efficacy or safety signals in plain language, ensuring results are understandable to statisticians, clinicians, and monitors.
Automated Data Workflows
Ingests REDCap CSV exports from trial databases and simulates future biomarker trajectories or clinical outcomes under different assumptions.
HIPAA-Compliant & Secure
Fully adheres to HIPAA: strips/encodes participant IDs, uses aggregate data, encrypts working data, and purges participant-level data post-analysis.
Ready to Enhance Your Alzheimer's Trial Analysis?
Discover how DIAN-Analyst-GPT can support your clinical trial analysis, from modeling complex longitudinal data to generating clear, actionable reports for monitoring boards and research teams.
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