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

TetraScience International TA 030124

Your privacy is a top concern for us at Knowledge Hub Media. We’ll only use your personal information to provide you with the content, products and/or services you’ve requested from us. By clicking the "Submit" button below, you are confirming that you have carefully read Knowledge Hub Media’s Terms of Use agreement, and Privacy Policy, and agree to be legally bound by all such terms.