Bibliographic Details
| Title: |
Impact of Artificial Intelligence on Pharma Industry. |
| Authors: |
Borisa, Pooja1, Singh, Debjani2, Rathore, Kamal Singh3 kamalsrathore@gmail.com |
| Source: |
Manipal Journal of Pharmaceutical Sciences. Mar2020, Vol. 6 Issue 1, p53-58. 6p. |
| Subject Terms: |
*MONTE Carlo method, *ARTIFICIAL intelligence, *TABLETING, *MACHINE learning, *GENETIC programming, *DRUG development, *ARTIFICIAL neural networks |
| Abstract: |
The pharma sector is undergoing a lot of advancement with the advent of artificial intelligence. Many pharmaceutical companies are adapting this technology in order to improve the drug discovery and development phase, hence this would help them undertake various research oriented projects pertaining to novel drug delivery approaches. The speed with which this system works will reduce the time lag between the development of a drug product and its commercialization. The Artificial Neural Network systems (ANN) are being developed to predict relationships within the data. Machine learning and Deep learning are also being used to study different parameters of machines and modulate them accordingly to get the desired output. Thus, the Artificial Intelligence softwares function as efficient systems in designing a drug product. They are also being used in clinical trials for generation and interpretation of data collected from patient's information. Hence, in this article we discuss the various roles of artificial intelligence in drug development, tablet manufacturing, design of antibiotic peptides and clinical research. Therefore, this gives a clear picture that artificial intelligence has an efficient impact on pharma industry. [ABSTRACT FROM AUTHOR] |
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| Database: |
Academic Search Complete |
