Artificial Intelligence in Pharmaceutical Technology

The development of new drugs is greatly aided by artificial intelligence (AI). Artificial intelligence (AI) is increasingly being used in various sectors of society, particularly the pharmaceutical industry. Deep neural networks and recurrent networks are the technology driving this field. There have recently been many applications in the field of property or activity predictions, such as physicochemical and ADME properties AI uses personified knowledge and gains knowledge from the solutions it generates to tackle both straightforward and complex issues. The process of developing new drugs may be transformed by increases in computational power and developments in AI technology. Due to rising R&D costs and decreased efficiency, the pharmaceutical industry is currently having trouble finding their drug development programs. In this review, we highlight the use of AI in multiple facets of the pharmaceutical industry, such as drug discovery and development, and clinical trials, among others; such use reduces human workload while meeting targets in a timely manner.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.15564302
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
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article

Artificial Intelligence in Pharmaceutical Technology

Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
article

Artificial Intelligence in Pharmaceutical Technology

article en

Abstract

The development of new drugs is greatly aided by artificial intelligence (AI). Artificial intelligence (AI) is increasingly being used in various sectors of society, particularly the pharmaceutical industry. Deep neural networks and recurrent networks are the technology driving this field. There have recently been many applications in the field of property or activity predictions, such as physicochemical and ADME properties AI uses personified knowledge and gains knowledge from the solutions it generates to tackle both straightforward and complex issues. The process of developing new drugs may be transformed by increases in computational power and developments in AI technology. Due to rising R&D costs and decreased efficiency, the pharmaceutical industry is currently having trouble finding their drug development programs. In this review, we highlight the use of AI in multiple facets of the pharmaceutical industry, such as drug discovery and development, and clinical trials, among others; such use reduces human workload while meeting targets in a timely manner.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 58%
Computational Drug Discovery Methods
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