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Informative Article | Medical Science | India | Volume 13 Issue 2, February 2024 | Popularity: 5.5 / 10

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Artificial Intelligence (AI): It?s Role in Drug Discovery and Novel Drug Delivery System

Dr. Chinmoyee Deori, Dr. Leena Hujuri, Dr Gayatri Sarma, Dr. Tonushyam Sonowal

Abstract: This article presents an all - encompassing overview of the pivotal role played by artificial intelligence (AI) across various stages of drug discovery and delivery, highlighting its transformative impact on the pharmaceutical industry. Emphasis is placed on the application of AI in drug delivery as a crucial advancement that leverages innovative technologies and algorithms to enhance the efficiency of drug transportation. The evolution of AI in drug discovery, starting from the creation of the DENDRAL program in the 1960s to its modern applications in target identification, virtual screening, and de - novo drug design, serves as a testament to its growing importance. Additionally, the utility of AI in the pharmaceutical sector is explored, demonstrating how AI algorithms analyse biological data for disease target identification, optimize experimental design, and predict drug interactions, thereby facilitating personalized medicine and reducing reliance on animal testing. The article further delves into the influence of AI on dosage form design, pharmacokinetics, and the optimization of drug delivery systems through predictive modelling and machine learning algorithms. The emergence of AI - driven drug delivery systems, such as nanoparticles and liposomes, underscores the capability of AI to improve drug efficacy and minimize adverse effects. Nevertheless, challenges such as regulatory guidance and ethical considerations are duly acknowledged. In conclusion, the article posits that the integration of AI into drug delivery systems holds the promise of revolutionizing medical treatments, enhancing patient outcomes, and shaping the future of the pharmaceutical industry.

Keywords: Artificial intelligence, DENDRAL program, target identification, virtual screening, d e - novo drug design, machine learning

Edition: Volume 13 Issue 2, February 2024

Pages: 1426 - 1430

DOI: https://www.doi.org/10.21275/SR24219203948

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