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Managing clinical trials are quite complicated as the healthcare industry is highly regulated and the increasingly global marketplace can be extremely challenging. It calls for an integrated, end-to-end approach that synchronously provides visibility into trial costs, study timelines, and regulatory compliances. Technology comes to the aid of clinical researchers in addressing some of these challenges.

Ever since Arthur Samuel popularized the term Machine Learning in 1959, ‘routine tasks’ have been codified and automated. Recent advancements in Artificial Intelligence (AI), Computer Vision, and Machine Learning have vastly increased the number of workflows and tasks that can be easily automated. Combined, these technologies facilitate advanced data processing, which makes it possible to computerize tasks that require high-level reasoning.