With NeuroBlu Analytics v4.3 we are excited to introduce the new SQL Studio for direct querying of NeuroBlu Data - explore the dataset using only SQL. This release also includes an enhanced Descriptive Statistics output module with full criteria description, while a refactoring of the NeuroBlu Python library improves performance and exposes new relational APIs for faster code execution.

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SQL Studio

The beta version of the new SQL workspace is now available, providing an easy way to explore the NeuroBlu Data with a familiar language. The brand-new SQL Studio empowers researchers and data scientists to leverage the full power of SQL for complex data analysis without having to write any R or Python code. The feature interface also provides easy-to-access information about the dataset’s tables, to further ease data exploration.

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Enhanced Descriptive Statistics Output for Cohort Explorer:

The Descriptive Statistics module in Cohort Explorer now includes detailed specifications of the selected cohort in its PDF Output. Adding a full list of Inclusion and Exclusion criteria to the Descriptive Statistics document provides full context for the selected cohort and a way for researchers and analysts to easily reference patient characteristics.

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New relational APIs in NeuroBlu Python library:

The refactoring of the NeuroBlu Python library for Code Studio improves overall performance and exposes relational APIs to empower users to write more performant code, especially when working with larger cohorts. Users can choose between returning results as a pandas dataframe (default behavior) or as a relation which can be combined and evaluated only in the final step, reducing computation by avoiding intermediate data pulls. The global settings allow users to easily switch between the two behaviors, while the default remains unchanged for a seamless transition. Chunking support is preserved for those using pandas dataframes, ensuring flexibility in how data is handled. These updates streamline your coding process while offering powerful new capabilities.

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We invite our user community to explore these powerful new tools in NeuroBlu Analytics v4.3. By leveraging these new features, researchers can drive analysis quickly and efficiently and contribute to advancing behavioral and mental health care and treatment strategies.

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