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A review on artificial intelligence in pharmaceutical sciences: opportunities and challenges
Vivek Kumar1, Saurav Kumar2, Ravi Kumar3
1Kashi Institute of Pharmacy, MS 23KM, Varanasi - Prayagraj (Allahabad) Highway, Mirzamurad Varanasi Uttar Pradesh, India.
Drug Development and Industrial Pharmacy
|May 10, 2026
Summary
Artificial intelligence (AI) is revolutionizing pharmaceutical sciences by accelerating drug development and personalizing medicine. Challenges in data and regulation remain, but AI integration promises more efficient and patient-centered healthcare.
Area of Science:
- Pharmaceutical Sciences
- Biotechnology
- Computational Biology
Background:
- Artificial intelligence (AI) is increasingly impacting pharmaceutical research and development.
- The integration of AI offers potential solutions to long-standing challenges in drug discovery and clinical trials.
- Understanding the scope and implications of AI in pharmaceuticals is crucial for future advancements.
Purpose of the Study:
- To systematically review the transformative impact of artificial intelligence (AI) on pharmaceutical sciences.
- To explore how AI accelerates drug development, enhances clinical trials, and optimizes manufacturing.
- To examine AI's role in personalized medicine and identify associated challenges.
Main Methods:
- A comprehensive literature review synthesizing recent studies, industry reports, and regulatory guidelines.
- Analysis of AI applications across drug discovery, clinical trials, pharmacovigilance, manufacturing, and pharmacy education.
- Critical examination of barriers including data quality, privacy, explainability, and regulatory hurdles.
Main Results:
- AI significantly accelerates pharmaceutical R&D, including target identification, lead optimization, and ADMET prediction, leading to faster, cost-effective drug development.
- AI enables advancements in personalized medicine, improving patient outcomes through individualized data analysis.
- Persistent challenges include data interpretation, privacy concerns, and navigating the evolving regulatory landscape.
Conclusions:
- Ongoing AI advancements and evolving regulations are poised to revolutionize pharmaceutical science, enabling efficient, predictive, and patient-centered healthcare.
- Successful integration requires addressing challenges like data quality and explainability, and fostering stakeholder collaboration.
- AI promises safer, faster, and more precise drug delivery, benefiting clinicians, researchers, and students.
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