Integration of Artificial Intelligence in Drug Discovery and Development

Artificial intelligence is revolutionizing the pharmaceutical sector by streamlining the processes of drug discovery and development. By leveraging AI advancements, we can accelerate the identification of new drugs, improve precision medicine approaches, and enhance patient outcomes. In this context, AI plays a crucial role in various aspects of drug discovery, employing algorithms to analyze vast datasets, predict molecular interactions, and identify potential therapeutic candidates. Several innovative applications highlight the influence of AI, including the use of machine learning for drug repurposing and the discovery of new compounds. However, despite its promising contributions, the integration of AI in drug development also faces limitations, which will be explored in the final

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-05
DOI
https://doi.org/10.5281/zenodo.14811170
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Integration of Artificial Intelligence in Drug Discovery and Development

Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
article

Integration of Artificial Intelligence in Drug Discovery and Development

article en

Abstract

Artificial intelligence is revolutionizing the pharmaceutical sector by streamlining the processes of drug discovery and development. By leveraging AI advancements, we can accelerate the identification of new drugs, improve precision medicine approaches, and enhance patient outcomes. In this context, AI plays a crucial role in various aspects of drug discovery, employing algorithms to analyze vast datasets, predict molecular interactions, and identify potential therapeutic candidates. Several innovative applications highlight the influence of AI, including the use of machine learning for drug repurposing and the discovery of new compounds. However, despite its promising contributions, the integration of AI in drug development also faces limitations, which will be explored in the final

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 51%
Computational Drug Discovery Methods
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