Overview of AI-Driven New Drug Development Skills

Authors

  • Xiongpeng Jiang School of Mathematical Sciences, Zhejiang University of Technology, Hangzhou, Zhejiang 310000, China

DOI:

https://doi.org/10.32996/jcsts.2026.8.5.12

Keywords:

Artificial intelligence; drug discovery; machine learning; deep learning; vaccine development

Abstract

In traditional drug development, long development cycles, high costs, and low efficiency are often unavoidable. With the rise of artificial intelligence (AI), all aspects of traditional pharmaceutical industry have undergone unprecedented changes. Through model training, drug development cycles can be significantly shortened and efficiency improved. This article reviews the changes brought about by AI to the drug development industry in the past three years, outlining the improvements AI has made to the pharmaceutical process, and contributing to future research in the pharmaceutical field.

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Published

2026-04-09

Issue

Section

Research Article

How to Cite

Xiongpeng Jiang. (2026). Overview of AI-Driven New Drug Development Skills. Journal of Computer Science and Technology Studies, 8(5), 140-143. https://doi.org/10.32996/jcsts.2026.8.5.12