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Accelerating ADME/Tox Testing with Data Science and AI

At Charles River Laboratories Hungary (SOLVO), scientists perform drug transporter assays to evaluate the absorption, distribution, metabolism, excretion, and toxicity (ADME/Tox) properties of drug candidates. They follow a rigid and inefficient sampling scheme to generate dose-response curves, adding cost and time to projects.

Learn how TetraScience helped SOLVO streamline ADME/Tox screening with artificial intelligence (AI). By replatforming and engineering scientific data, the Tetra Scientific Data and AI Cloud™ supports the development and validation of an in silico model to optimize sampling and improve IC50 calculations.

The in silico model, built in just 5 months, will enable SOLVO to:

    • Cut the number of sampling points by half while improving IC50 accuracy
    • Reduce wet lab experiments by 50%
    • Decrease manual data curation by 1.5 FTE


Esther Howard Linkedin

Director Solution Consulting, Tetrascience

Richard leads Nexthink’s Solution Consulting team in North America. Richard has extensive experience leading software presales teams to deliver solutions in complex and challenging market environments, and has held senior solution consulting positions in companies such as Everbridge, BMC Software and Dell.

Esther Howard Linkedin

Director Solution Consulting, Tetrascience

Richard leads Nexthink’s Solution Consulting team in North America. Richard has extensive experience leading software presales teams to deliver solutions in complex and challenging market environments, and has held senior solution consulting positions in companies such as Everbridge, BMC Software and Dell.

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