SIVA Toolkit 2.0: Improving In Vitro Drug Development Data Analysis

Frustrated by the lack of tools to help analyze complex in vitro studies?

Analysis of in vitro data from whole cell systems and dissolution studies is complex, challenging and time consuming. Yet accurate data analysis and interpretation early in drug development is crucial. Existing tools just aren’t designed for in vitro systems. These software tools can’t analyze complex in vitro data, which are key to predicting in vivo behavior with physiologically based pharmacokinetic (PBPK) models and informing critical decisions.

The user-friendly SIVA Toolkit is an innovative solution that can analyze data from a broad range of in vitro assays to assess the metabolism, transport and dissolution/solubility of drugs. In this webinar, Drs. Nikunjkumar Patel and Howard Burt will demonstrate how this novel tool provides:

  • A pre-defined library of state-of-the-art models for in vitro assays
  • Powerful optimization algorithms in a sophisticated statistical environment
  • Model fitting and statistical analysis tools to assess goodness-of-fit
  • Automatic generation of diagnostic plots

Web-KeyElementsSIVA

To learn how this user-friendly platform, specifically designed to assist scientists with the analysis of complex in vitro studies using whole cells, tissue samples and solid dosage forms to assess the metabolism, transport and dissolution/solubility of drugs, watch Simcyp In Vitro Analysis (SIVA): Get the Most From Your In Vitro Data.

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