The Impact of Artificial Intelligence in Clinical Trial Recruitment 






Artificial Intelligence (AI) is a field with a long history and which is still actively evolving and changing. Until now, we have seen the basics of modern AI, as well as some of the typical applications of AI. Along the way, we also hope to see numerous applications and vast possibilities in the field of AI, which continues to increase human capability beyond our imagination.Let us see how Artificial intelligence is lowering trial cycle times while increasing the costs of productivity and results of clinical development.

Transformation in clinical trials using artificial intelligence

TRADITIONAL 'linear and sequential' clinical trials remain the same to make sure that the efficacy and safety of new medicines are kept unchanged. However, the tedious tried and tested process of discrete and fixed aspects of randomized controlled trials (RCTs) was built mainly for mass-market testing drugs has changed a little in recent years. The traditional RCTs lack the analytical power, fluidity, and speed required to develop sophisticated new therapies that focus on smaller and often diversified patient populations.The implementation of AI technologies is, therefore, becoming a vital business imperative in the following areas:Originally published at https://www.wattpad.com. 

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