Artificial Intelligence in Pharmaceutical Technology
Year: 2025
Type: article
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.
Author: Sanchit Sanap*, Akshay Fulsunder, Omkar Dhakne, Prasad Gadge, Ankit Pingale
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893246401
FWCI:
Cites:
Cited by:
Related to: