Exploring the world of AI- The impact in pharmaceutical science

Artificial Intelligence (AI) has emerged as a transformative force in the pharmaceutical industry, addressing the long-standing challenges of high costs, lengthy timelines, and high attrition rates in drug development. From early expert systems like DENDRAL and MYCIN to advanced deep learning models such as AlphaFold and AtomNet, AI has progressively reshaped every stage of the drug development pipeline. Its applications range from target identification, de novo molecule design, and clinical trial optimization to manufacturing and pharmacovigilance. This paper traces the historical evolution of AI in pharmaceuticals, highlights key milestones, and explores the growing necessity of AI software in modern drug discovery and healthcare innovation.

Authors

Publication Details

Journal
Magna Scientia Advanced Research and Reviews
Published
2025-09-19
DOI
https://doi.org/10.30574/msarr.2025.15.1.0106
Primary Topic
Genetics, Bioinformatics, and Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the world of AI- The impact in pharmaceutical science

R. Abinaya, B Pooja
Magna Scientia Advanced Research and Reviews
Genetics, Bioinformatics, and Biomedical Research
article

Exploring the world of AI- The impact in pharmaceutical science

R. Abinaya, B Pooja
article en

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in the pharmaceutical industry, addressing the long-standing challenges of high costs, lengthy timelines, and high attrition rates in drug development. From early expert systems like DENDRAL and MYCIN to advanced deep learning models such as AlphaFold and AtomNet, AI has progressively reshaped every stage of the drug development pipeline. Its applications range from target identification, de novo molecule design, and clinical trial optimization to manufacturing and pharmacovigilance. This paper traces the historical evolution of AI in pharmaceuticals, highlights key milestones, and explores the growing necessity of AI software in modern drug discovery and healthcare innovation.

Magna Scientia Advanced Research and ReviewsVol. 15(1)
Openalex Percentile: Top 77%
Genetics, Bioinformatics, and Biomedical Research
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.