The clinical trial industry is ripe for the application of good data science. The field generates massive amounts of data on a daily basis, which has a tremendous impact on human individuals and societies. Anonymized data related to clinical trials is freely available online, through government agencies like ClinicalTrials.gov and public-private partnerships such as the Clinical Trials Transformation Initiative (CTTI).
Comprehend’s engineering group is always looking for new ways to use data science to improve the safety and effectiveness of clinical trials. We’re particularly interested in deep learning tools that can make handling large datasets more efficient and pave the way for new analytical discoveries. Using deep learning and other artificial intelligence (AI) technologies may bring us to the day where we can determine, and replicate, the conditions required to optimize clinical trials in different therapeutic areas.