Image and Data Processing for HCS toxicology

The pharmaceuticals and biotechnology industries have made substantial progress in reducing the number of drugs that fail in clinical trials due to safety. This has been due, in part, to an improvement in the ability to identify problematic compounds at an earlier stage in the drug discovery process, using in vitro methods. One technology that is increasingly being used in this effort is high content analysis, (HCA).

This educational session will serve as an introduction to the field of HCA for toxicology. we will review how HCA can increase the efficiency of tox screening through the multiplexing of assays. There will be a special focus on how HCA, when combined with various forms of Artificial Intelligence, can be used for predictive toxicology. We will discuss how the technologies have been applied in various disease fields and the challenges associated with the implementation of these methods.

Learning Objectives: 

• Get an overview of the application of HCA for in vitro toxicology 
• Understand how the combination of HCA artifical intelligence can be beneficial for predictive toxicology 
• Gain insights into the challenges associated with the implementation of these methods