Accelerating high-throughput screening insights with the Tetra Scientific Data and AI Cloud

Biopharma organizations use high-throughput screening (HTS) to parallelize experiments to identify higher-quality drug discovery and development leads more quickly. 

HTS currently relies on manual, error-prone process to collect and transform scientific data into formats capable of being used within informatics applications or analytics, delaying downstream drug development.

In this solution brief, you will learn how the High-Throughput Screening Tetra Scientific Application brings cohesion to your HTS workflows by:

• Increasing screening throughput through end-to-end automation
• Eliminating error-prone, manual updates to inventory and registration systems
• Harmonizing data across multiple formats to enable analytics and visualizations, such as SAR and in-silico evaluations
• Providing a centralized historical record and scientific context to scientific data and results