AI-enabled pharmaceutical techniques

The integration of Artificial Intelligence (AI) into pharmaceutical sciences is revolutionizing drug discovery, development, manufacturing, and personalized treatment.AI-enabled pharmaceutical techniques leverage machine learning, deep learning, and data analytics to streamline processes, reduce costs, enhance accuracy, and accelerate timelines.This research paper explores the current state, methodologies, applications, and future directions of AI in pharmaceutical technologies.Emphasis is placed on drug discovery, clinical trials, pharmacovigilance, and precision medicine, while addressing challenges such as data quality, regulatory concerns, and ethical implications.

Authors

Publication Details

Journal
African Journal of Medicine and Pharma Research
Published
2025-08-11
DOI
https://doi.org/10.18231/j.ajmpr.v.3.i.1.1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-enabled pharmaceutical techniques

Girendra Kumar Gautam
African Journal of Medicine and Pharma Research
Computational Drug Discovery Methods
article

AI-enabled pharmaceutical techniques

Girendra Kumar Gautam
article en

Abstract

The integration of Artificial Intelligence (AI) into pharmaceutical sciences is revolutionizing drug discovery, development, manufacturing, and personalized treatment.AI-enabled pharmaceutical techniques leverage machine learning, deep learning, and data analytics to streamline processes, reduce costs, enhance accuracy, and accelerate timelines.This research paper explores the current state, methodologies, applications, and future directions of AI in pharmaceutical technologies.Emphasis is placed on drug discovery, clinical trials, pharmacovigilance, and precision medicine, while addressing challenges such as data quality, regulatory concerns, and ethical implications.

African Journal of Medicine and Pharma ResearchVol. 3(1)
Openalex Percentile: Top 78%
Computational Drug Discovery Methods
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