Volume : 11, Issue : 10, October – 2024
Title:
A SHORT REVIEW OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING ON DRUG DISCOVERY IN THE PHARMACEUTICAL INDUSTRY
Authors :
Miss. Avula Buela, Mr. V. S. Chandrasekaran*, Dr. K. Venugopal
Abstract :
Artificial Intelligence and Machine Learning are transforming the pharmaceutical industry by enhancing efficiency in drug discovery, clinical trials, and personalized medicine. Originating from concepts established in the mid-20th century, Artificial Intelligence simulates human intelligence to process and analyze vast datasets, facilitating the identification of drug targets and optimizing compound screening. Key goals include the development of expert systems that emulate human decision-making and the application of Machine Learning algorithms to improve predictive accuracy in various domains, including healthcare. Recent advancements such as generative AI, multimodal AI, and edge computing are further reshaping the landscape, while challenges like data privacy and integration persist. The pharmaceutical sector increasingly employs Artificial Intelligence to streamline R&D processes, reduce costs, and improve market strategies, with projections indicating a rapid market growth for AI applications in this field. By 2028, the market for AI in pharmaceuticals is anticipated to reach $5.62 billion, reflecting a CAGR of 28.5%. In conclusion, Artificial Intelligence and Machine Learning promise to enhance drug development efficiency and patient outcomes, though careful management of ethical concerns and data privacy will be crucial for their successful implementation.
Keywords: Artificial intelligence, Machine learning, Drug discovery, Personalized medicine, Clinical trials, pharma marketing, Data privacy.
Cite This Article:
Please cite this article in press Avula Buela et al., A Short Review Of Artificial Intelligence And Machine Learning On Drug Discovery In The Pharmaceutical Industry..,Indo Am. J. P. Sci, 2024; 11 (10).
Number of Downloads : 10
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