NeuroBlu Analytics v4.23 marks one of our most impactful releases of 2025. Introducing two major workflow accelerators and another substantial dataset expansion. With the launch of Clinical Code Editor v1, SQL Criteria in Cohort Explorer, and the new 25R4 dataset, researchers now have deeper control, greater interoperability, and richer clinical and cognitive signal than ever before.

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25R4 Dataset Release

This release brings another substantial upgrade to clinical depth, adding new cognitive assessments, expanded scale components, and enhanced NLP signal for depressive disorders.

Key Enhancements

• Data Refresh: Additional 13 weeks of structured data across all four partners through November 2025
• Scale and Assessment Expansion: Added 30+ new scale components across cognitive assessments (MiniCog, MMSE, ESS) and expanded existing scales (C-SSRS, PHQ-9, GAD-7, AIMS, AUDIT-C) with granular question-level data
• Depressive Symptoms Enhancement: Full five-symptom NLP Depressive Disorder Model now available for an existing data partner (anhedonia, depressed mood, fatigue, negative view of self, difficulty concentrating) with temporality

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Clinical Code Editor (CCE)

The new Clinical Code Editor elevates how teams build, maintain, and govern clinical definitions. Projects that once required multiple reviewers, manual validation, and days of back-and-forth can now be completed in a fraction of the time.

What CCE Delivers

• Bulk import of diagnosis, medication, and procedure codes
• Automated validation against NeuroBlu reference tables, with instant feedback on invalid or deprecated entries
• Nested hierarchical groupings for sophisticated phenotype construction

CCE gives researchers an enterprise-ready environment to construct definitions once and apply them consistently across studies, teams, and therapeutic areas.

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SQL Criteria in Cohort Explorer

Cohorts created in SQL Studio often contain logic that exceeds what a GUI can express temporal windows, multi-condition relationships, biomarker thresholds, customized logic, or advanced sequencing. Until now, these SQL-defined cohorts could not be explored using Cohort Explorer’s automated descriptive analytics. With v4.23, that gap disappears.

Automated Cohort Analytics

• Define cohort inclusion/exclusion criteria using SQL quer directly in Cohort Explorer
• Automatically generate cohort analyses, charts, descriptive statistics, and density timelines

This creates a seamless bridge between custom SQL logic and automated insight generation accelerating analytics while preserving the expressiveness of SQL.

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v4.23 strengthens every stage of cohort development and analytic execution, enabling faster iteration, deeper insight, and more reliable real-world evidence generation across psychiatry and neurology.

Ready to explore these new capabilities? Log in to NeuroBlu Analytics to start using v4.23 today, or request a demo to see the full suite in action.

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