THE IMPACT OF ARTIFICAL INTELLIGENCE ON PHARMA SECTOR: A COMPREHENSIVE REVIEW

Artificial intelligence use in pharmaceutical technology has increased over the years, and the use of technology can save time and money while providing a better understanding of the relationships between different formulations and processes parameters. Artificial intelligence is a branch of the computer science that deals with the problem-solving by the aid of symbolized programming. It has greatly evolved in to a science of problems-solving with the huge applications in Drug Discovery, pharma industry and health care, The review discusses the historical evolution of AI in pharma sector, its role in predicting drug effectiveness and safety, and its potential to streamline clinical trials and optimize pharmacokinetics and pharmacodynamics. Furthermore, the integration of AI in quality assurance and pharmacovigilance is examined, emphasizing its ability to process vast amounts of data and improve drug safety monitoring. As the pharmaceutical industry continues to embrace AI, the review underscores the future potential of these technologies to drive innovation, enhance patient outcomes, and reshape healthcare delivery.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-23
DOI
https://doi.org/10.5281/zenodo.15268686
Primary Topic
Pharmacovigilance and Adverse Drug Reactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE IMPACT OF ARTIFICAL INTELLIGENCE ON PHARMA SECTOR: A COMPREHENSIVE REVIEW

Zenodo (CERN European Organization for Nuclear Research)
Pharmacovigilance and Adverse Drug Reactions
article

THE IMPACT OF ARTIFICAL INTELLIGENCE ON PHARMA SECTOR: A COMPREHENSIVE REVIEW

article en

Abstract

Artificial intelligence use in pharmaceutical technology has increased over the years, and the use of technology can save time and money while providing a better understanding of the relationships between different formulations and processes parameters. Artificial intelligence is a branch of the computer science that deals with the problem-solving by the aid of symbolized programming. It has greatly evolved in to a science of problems-solving with the huge applications in Drug Discovery, pharma industry and health care, The review discusses the historical evolution of AI in pharma sector, its role in predicting drug effectiveness and safety, and its potential to streamline clinical trials and optimize pharmacokinetics and pharmacodynamics. Furthermore, the integration of AI in quality assurance and pharmacovigilance is examined, emphasizing its ability to process vast amounts of data and improve drug safety monitoring. As the pharmaceutical industry continues to embrace AI, the review underscores the future potential of these technologies to drive innovation, enhance patient outcomes, and reshape healthcare delivery.

Zenodo (CERN European Organization for Nuclear Research)
Advanced Numerical Research and Analysis Group (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 50%
Pharmacovigilance and Adverse Drug Reactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.