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May 31, 2026Journal of Medical Internet Research1 citationsOpen Access

From Virtual Molecules to Clinical Trials: How AI Is Reshaping Preclinical Drug Discovery

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BCBenedette Cuffari

Key Points

  • The aim is to explore how artificial intelligence innovations may improve the efficiency of pharmaceutical development.
  • Examines recent advancements in artificial intelligence and their applications in drug discovery processes.
  • Discusses implications of these innovations for various stages of pharmaceutical development.
  • Highlights potential improvements in the speed and efficiency of drug discovery through AI.
  • Suggests that AI could significantly reduce time and costs associated with traditional drug development.

Abstract

Abstract Pharmaceutical development is typically a long and arduous process, but advances in artificial intelligence may help streamline each stage of this pipeline. In this News and Perspectives article, JMIR Correspondent Benedette Cuffari reports on recent innovations and their potential implications for drug discovery.

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Cite This Study

Benedette Cuffari (2026) studied this question.

synapsesocial.com/papers/6a1bd1f65783ba022b6fd56ehttps://doi.org/10.2196/101366
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