The Next Step: Using AI To Formulate Clinical Trial Research Questions

Big data and machine learning are making enormous inroads into the pharmaceutical and medical research markets. They increase the revenue streams of pharmaceutical companies through improved decision-making and innovation, boosting the efficiency of trials and new tools for everyone involved.

In clinical research, access to data — and the software to make sense of it — means researchers are better equipped to define their study questions and align various requirements to optimize results.

By providing improved site selection and recruitment and having a greater insight into patient populations and their shared traits, AI and machine learning can turn data into a valuable tool when defining clinical study questions.

Think about how AI-powered algorithms gather and make sense of valuable data and what this could mean for the researchers’ areas of study.