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Artificial Intelligence: Useful for Designing Clinical Trials

Due to lackluster recruiting techniques, a suboptimal number of patients are selected to participate in clinical trials. In addition, the researchers often have limited ability to observe and coach patients during clinical trials. These factors contribute to high clinical trial failure rates, which have a negative impact on the drug development cycle, not to mention 10 to 15 years and hundreds of millions of dollars wasted. However, scientists have proposed a potential solution to this problem: ...

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