Artificial intelligence in drug delivery and pharmaceutical research: a transformative application in the modern era

The life sciences have experienced a significant increase in the utilization of artificial intelligence (AI) in pharmaceutical research and drug delivery. The amalgamation of AI technology with human expertise has resulted in the rapid analysis and interpretation of genetic and biological data, leading to the acceleration of drug discovery processes and the identification of novel molecules. AI algorithms have also been employed to optimize drug development and delivery systems, predict disease progression, and evaluate drug candidates' pharmacological profiles. Additionally, AI has played a critical role in personalized medicine, scrutinizing patient data to customize treatments and improve patient outcomes. Although challenges still persist, sustained investments and exploration hold the promise of a fascinating future for healthcare and pharmaceuticals, with AI potentially revolutionizing pharmaceutical processes, reducing expenses, and enhancing patient care.

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Publication Details

Journal
Journal of medical pharmaceutical and allied sciences
Published
2025-02-28
DOI
https://doi.org/10.55522/jmpas.v14i1.6669
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
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article

Artificial intelligence in drug delivery and pharmaceutical research: a transformative application in the modern era

S. Nagalakshmi
Journal of medical pharmaceutical and allied sciences
Computational Drug Discovery Methods
article

Artificial intelligence in drug delivery and pharmaceutical research: a transformative application in the modern era

S. Nagalakshmi
article en

Abstract

The life sciences have experienced a significant increase in the utilization of artificial intelligence (AI) in pharmaceutical research and drug delivery. The amalgamation of AI technology with human expertise has resulted in the rapid analysis and interpretation of genetic and biological data, leading to the acceleration of drug discovery processes and the identification of novel molecules. AI algorithms have also been employed to optimize drug development and delivery systems, predict disease progression, and evaluate drug candidates' pharmacological profiles. Additionally, AI has played a critical role in personalized medicine, scrutinizing patient data to customize treatments and improve patient outcomes. Although challenges still persist, sustained investments and exploration hold the promise of a fascinating future for healthcare and pharmaceuticals, with AI potentially revolutionizing pharmaceutical processes, reducing expenses, and enhancing patient care.

Journal of medical pharmaceutical and allied sciencesVol. 14(1)
Openalex Percentile: Top 95%
Computational Drug Discovery Methods
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