Scientists engaged in drug discovery and development research generate vast quantities of data, particularly from cell-based preclinical models. When using cutting-edge imaging and omics technologies, the ability to analyze and interpret such data at the early stages of the biopharmaceutical development pipeline can help determine the success of candidate drugs in downstream clinical trials.
Download this ebook to learn how artificial intelligence tools help researchers streamline drug discovery and development efforts and maximize success through the following:
- Large-scale data analysis
- Collaborative and automated drug screening
- Deep learning for phenotypic drug discovery
