Pharma and biotech organizations often collaborate with Contract Research Organizations (CROs) for absorption, distribution, metabolism, and excretion (ADME) testing of pharmacokinetics (PK) properties of drug candidates.
Most CROs use their own data formats for standard assays, which can pose data aggregation challenges to biopharma companies. Being able to harmonize data from different CRO reports is critical to scale up ADME/PK processes.
This case study – Automated, Harmonized CRO Data Drives Cost-Effective Collaboration – demonstrates how TetraScience helped two clinical-stage startup companies get the most out of their CRO collaborations for ADME/PK needs.
This document covers:
TetraScience built a cloud-based data processing solution to automate Tecan, Titian, Dotmatics, and PerkinElmer Envision workflows with upstream data science applications. Our vendor-agnostic integrations enabled scientists to access all of their instrument data, information of informatics software, and scientific data visualization in one place. No more need to move and update files from multiple locations.
Increase Throughput with Automated CRO Data
Harmonized data can be used in visualizations of structure activity relationships (SAR), data science, artificial intelligence, and machine learning (AI/ML). By automating CRO data entry, processing, and transfer, scientists save time and reduce manual errors.
With automated data management, CRO outsourcing can help biopharma companies realize more cost-effective results. Read the full case study to learn more,