Pharmaceuticals

JMP software gives pharmaceutical researchers company-wide, and at every stage of the drug discovery process, the best-in-class methods they need to bring safe, effective drugs to market as quickly and profitably as possible. During drug production, companies use JMP to implement a consistent methodology for improving products, reducing defects, minimizing risks, streamlining operations, and increasing productivity.

JMP analytics are tested and backed by SAS, a trusted partner to the pharmaceutical industry for over 25 years. Using ODBC drivers, JMP can open a read-only connection to a secured, part 11-compliant data source such as SAS. Researchers can perform exploratory analyses quickly and easily with JMP without jeopardizing the integrity of the source data. Because JMP is a part of the SAS family, researchers can depend on getting the same results as they will from SAS when it’s time to run final reports for the FDA.

Pharmaceutical companies use JMP to do the following:

• Screen for the most promising few compounds
• Develop and refine promising compounds
• Link to databases for synthesis and extraction
• Design biological screens and determine optimal dosage
• Perform toxicology and safety testing
• Explore compound, pre-clinical, clinical, and post-clinical trials data
• Design, optimize, monitor, and improve manufacturing and distribution

"There is no need to look at data in tabular form – JMP is a visualization tool that provides a significant amount of information on a single graph. JMP dynamically links tables to graphs so that outliers and trends in data are quickly identified." Michael Emptage, Assistant Director in Statistical Sciences, GlaxoSmithKline

Analytics for all stages of drug discovery and production

JMP displays multiple graphs and statistics in the same window to help you understand the structure of your data.

Use the wide repertoire of multivariate techniques native to JMP model your data appropriately.

JMP Scripting Language lets you capture analysis sequences and results, and immediately display the results in the format you find most usable.

JMP allows multiple views that are dynamically linked, to surface analysis results a way that prompts new questions and generates insights.

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Featured Article

Read the Pharmaceutical Engineering article, Pragmatic PAT: Simplifying and Making PAT Data Analysis Lean, by Malcolm Moore of SAS.
Copyright ISPE 2007. Reprinted with permission from ISPE