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WJPR Citation
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| All | Since 2020 | |
| Citation | 8502 | 4519 |
| h-index | 30 | 23 |
| i10-index | 227 | 96 |
EMBRACING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN PHARMACEUTICAL INDUSTRY
Dr. Manisha Lalan, Himan Patel*, Prithvirajsinh Parmar
. Abstract For more than 200 years, the world has been through revolutions before the advent of mechanization then electronics then the digital revolution, all profoundly changed the world's economies and sparked a surge of new ideas and opportunities across sectors but this revolution of artificial intelligence, data science and machine learning could be even more disruptive. In this review, we discuss the application of artificial intelligence (AI) in many areas of the pharmaceutical industry, such as drug discovery and development, clinical testing, production and formulation of dosage forms, and clinical trials, among others; such usage reduces human effort while meeting objectives in a short amount of time. Although there are ethical issues about the use of AI in healthcare and pharmaceutical industry, it is obvious that no machine or system will able to match the intelligence and emotion of the human being. Keywords: Artificial intelligence, AIML, Machine learning, Pharmaceutical Industry. [Full Text Article] [Download Certificate] |
