How AI And Machine Learning Are Reshaping Clinical Trials

The use of machine learning and artificial intelligence in society has been one of the most significant technological achievements of the 21st century. Over the last decade, the advancement of processes and systems that use ML and other functions has exponentially increased. Although basic AI systems were used in the late 20th century, each technological improvement has enhanced how researchers across countless fields better manage data and scale their efforts.

“Various ML approaches are available for managing large and heterogeneous sources of data, identifying intricate and occult patterns, and predicting complex outcomes,” wrote researchers E. Hope Weissler, et al. “As a result, ML has value to add across the spectrum of clinical trials, from preclinical drug discovery to pre-trial planning through study execution to data management and analysis.”

Today, AI and ML are used in diverse ways in clinical trials. Consider several ways machine learning can change trial development and test feasibility, helping organizations save time and money.