Artificial Intelligence in Medication Research and Development: The Pharmaceutical Industry's Future

It is no wonder that AI is making a major impact in drug development. As AI tools continue to advance and improve, it is easy to understand why pharmaceutical companies are taking a keen interest in AI in drug development and its potential benefits for saving time and money. AI is helping drug development become faster, more accurate, and cost-effective, all while benefiting the bottom line. When machine learning and deep learning come into play in this scenario, the potential for AI and its benefits in drug development is endless. It has already been proven in areas such as predicting drug properties, identifying and validating new targets, developing small molecule drugs, and even speeding up clinical trials through drug repurposing, drug development, and drug outcome predictions. Of course, as in all things in life, there are obstacles and hurdles that need to be addressed and overcome. This includes better data-sharing practices, better standards for algorithms, and even the potential for bringing biology and computer science closer together in order to bring lab work and modeling closer.

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Publication Details

Journal
Current Medicinal Chemistry
Published
2026-04-21
DOI
https://doi.org/10.2174/0109298673409808251118070544
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence in Medication Research and Development: The Pharmaceutical Industry's Future

Raja Lakhal, Manaf AlMatar, Hassan A. Al‐Reasi, Emel Eker et al.
Current Medicinal Chemistry
Computational Drug Discovery Methods
article

Artificial Intelligence in Medication Research and Development: The Pharmaceutical Industry's Future

Raja Lakhal, Manaf AlMatar, Hassan A. Al‐Reasi, Emel Eker, Khaoula Balgouthi
article en

Abstract

It is no wonder that AI is making a major impact in drug development. As AI tools continue to advance and improve, it is easy to understand why pharmaceutical companies are taking a keen interest in AI in drug development and its potential benefits for saving time and money. AI is helping drug development become faster, more accurate, and cost-effective, all while benefiting the bottom line. When machine learning and deep learning come into play in this scenario, the potential for AI and its benefits in drug development is endless. It has already been proven in areas such as predicting drug properties, identifying and validating new targets, developing small molecule drugs, and even speeding up clinical trials through drug repurposing, drug development, and drug outcome predictions. Of course, as in all things in life, there are obstacles and hurdles that need to be addressed and overcome. This includes better data-sharing practices, better standards for algorithms, and even the potential for bringing biology and computer science closer together in order to bring lab work and modeling closer.

Current Medicinal ChemistryVol. 33
Biotechnology Institute (US), Sohar University (OM), Cukurova University (TR), Harran University (TR)
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Computational Drug Discovery Methods
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