Accelerating precision drug discovery: Leveraging cloud integration and ai to transform healthcare innovation

This article explores how the strategic integration of cloud-based enterprise architectures with Artificial Intelligence is revolutionizing drug discovery by significantly accelerating the development pipeline, enhancing collaborative research, and enabling precision medicine. The pharmaceutical industry faces mounting challenges with traditional drug development approaches, including lengthy timelines, high costs, and substantial failure rates during clinical trials. Cloud-AI integration addresses these challenges through enhanced data processing capabilities, elimination of research silos, and facilitation of global collaboration. By leveraging vast and diverse datasets through cloud platforms and applying AI-driven analytics, healthcare organizations and pharmaceutical companies are transforming the discovery paradigm from serendipitous to data-driven, reducing the time and cost of bringing personalized, effective drugs to market while simultaneously improving candidate molecule quality and success rates across the development continuum.

Authors

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-06-06
DOI
https://doi.org/10.30574/wjaets.2025.15.3.0823
Primary Topic
Biomedical and Engineering Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Accelerating precision drug discovery: Leveraging cloud integration and ai to transform healthcare innovation

Anasuya Vemuri
World Journal of Advanced Engineering Technology and Sciences
Biomedical and Engineering Education
article

Accelerating precision drug discovery: Leveraging cloud integration and ai to transform healthcare innovation

Anasuya Vemuri
article en

Abstract

This article explores how the strategic integration of cloud-based enterprise architectures with Artificial Intelligence is revolutionizing drug discovery by significantly accelerating the development pipeline, enhancing collaborative research, and enabling precision medicine. The pharmaceutical industry faces mounting challenges with traditional drug development approaches, including lengthy timelines, high costs, and substantial failure rates during clinical trials. Cloud-AI integration addresses these challenges through enhanced data processing capabilities, elimination of research silos, and facilitation of global collaboration. By leveraging vast and diverse datasets through cloud platforms and applying AI-driven analytics, healthcare organizations and pharmaceutical companies are transforming the discovery paradigm from serendipitous to data-driven, reducing the time and cost of bringing personalized, effective drugs to market while simultaneously improving candidate molecule quality and success rates across the development continuum.

World Journal of Advanced Engineering Technology and SciencesVol. 15(3)
Openalex Percentile: Top 88%
Biomedical and Engineering Education
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