Clinical trials are the backbone of modern medicine, responsible for bringing innovative, safe, and efficient treatments to market after rigorous testing and evaluation. However, the conventional process of conducting these trials has often been long, expensive, and fraught with inefficiencies¹. The advent of predictive analytics is reshaping the landscape of clinical trials, ushering in a new era of precision efficiency². This blog explores how predictive analytics is transforming clinical trials, from optimizing design and recruitment to predicting outcomes and reducing risks.
How Predictive Analytics is Boosting Clinical Trials Efficiency?
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