NeuroBlu Analytics v4.13 introduces important advancements to support deeper clinical insight and more accessible data exploration. With the 25R2 dataset update, we’ve added five new assessment scales—including four cognitive measures—and expanded our patient population with new data partner refreshes. Additionally, we’ve reimagined our data documentation experience with a redesigned data dictionary, export options, and practical guides to help you navigate the NeuroBlu platform with greater ease and confidence.
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25R2 Dataset Update: Expanded Cognitive Assessment Coverage

With the 25R2 dataset release, we’ve significantly broadened our clinical assessment capabilities, particularly in cognitive and mental health domains. Four new cognitive assessment scales have been added, and one existing scale—PSS-3—has been expanded with additional patient data. These updates support research in areas such as cognition, neurodegeneration, sleep health, and suicide risk screening.

Newly Added Assessments:

• Epworth Sleepiness Scale (ESS): Measures daytime sleepiness with data from 116,000+ patients
• Montreal Cognitive Assessment (MoCA): A robust tool for detecting mild cognitive impairment, now available for 13,000+ patients
• MiniCog: Brief cognitive screening with data from over 430,000 patients
• Mini-Mental State Examination (MMSE): Standardized cognitive assessment with 37,000+ patient records

Expanded Assessment Coverage:

• Perceived Stress Scale (PSS-3): Suicide risk screening now expanded to include 102,000+ patients

These enhancements further NeuroBlu’s ability to support studies in cognitive decline, neurodegenerative disorders, sleep disorders, and mental health risk stratification.

‍Dataset Expansion Highlights:

• 14+ months of refreshed clinical data from key partners
• 730,000+ net new patients
• Improved longitudinal depth and diversity of clinical observations

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Easier, More Actionable Data Documentation

To support a broader audience across pharma departments, v4.13 also improves how users interact with our data documentation.

Key Improvements:

• Redesigned Data Dictionary: Clean, reorganized layout for faster navigation
• Export Options: Downloadable formats (e.g., spreadsheets) for easier sharing and offline review
• Getting Started Guide: A practical, step-by-step resource to explore the NeuroBlu database in SQL Studio
• OHDSI Athena Links: Integrated references for concept code lookups and terminology clarification

These enhancements ensure that both new and experienced users—from RWD analysts to Clinical Development and Epidemiology teams—can navigate and extract value from the platform with ease.

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With v4.13, NeuroBlu Analytics continues to evolve into a cross-functional, pharma-ready analytics environment. These updates pave the way for broader use across research teams and enhance your ability to generate deep, real-world insights.

Interested in seeing NeuroBlu Analytics for yourself? Contact us to schedule a demo.

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