ARTIFICIAL INTELLIGENCE - REVOLUTIONIZING CLINICAL TRIAL PROCESS
Authors: Juneja A , CHATURVEDI S, SHRIVASTAV S* , DHAR H AND BERI A

ABSTRACT
Artificial intelligence (AI) is a term that refers to the use of computers and technologies to replicate intelligent human behavior and critical thinking in a way that is equivalent to that of a human. John McCarthy coined the term AI in 1956, which he defined as "the science and engineering of creating intelligent machines." To solve not just particular but also complicated issues, artificial intelligence (AI) employs personalised information and learns from the solution it produces. Incredible advances in computer capacity, along with advances in AI technology, have the potential to change the healthcare industry. The amount of health and 'omics-related data' produced and stored has increased dramatically during the last several decades. In clinical trials, patient data may be gathered in real time and analysed using a variety of artificial intelligence (AI) techniques; mobile devices can also be utilized to improve aspects of disease diagnosis and treatment. Furthermore, AI may be employed in the discovery of novel pharmaceuticals or drug repurposing, as well as in the rapid detection and treatment of various ailments, as well as in the identification of data-driven hypotheses for researchers. In this article, we look at how artificial intelligence is beginning to transform the field of life sciences. Keyword: Artificial intelligence, Clinical trials, Deep learning, Drug Development, Machine learning
Publication date: 01/12/2022
    https://ijbpas.com/pdf/2022/December/MS_IJBPAS_2022_6545.pdf
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https://doi.org/10.31032/IJBPAS/2022/11.12.6545