Clinical trials are the way to get drugs and treatments approved and in the mass market. However, the entire process is very expensive and cumbersome. Sagar Anisingaraju discusses the challenges and the possible solutions. His article further explores ways to optimize clinical trials with machine learning and RPA.
High cost and low success rates are the two top issues that plague clinical trials. The pharmaceutical industry has turned to technology to combat these challenges. New data analytics solutions are emerging everyday that promise to deliver data insights quickly, efficiently, and accurately. With better analytics and improved processes, such as centralized monitoring and automation, the industry is hoping to bring down the cost of conducting clinical trials and research, so that new treatments can get to market faster.
Optimizing Clinical Trials: The Need of the Hour Print
Modified on: Tue, 9 Feb, 2021 at 1:10 PM
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