AI-Driven Advances in Pharmaceutics: Enhancing Drug Stability and Efficacy

Artificial intelligence (AI) is remodeling the sphere of pharmaceutics by using drastically improving drug balance and efficacy. Through superior machine getting to know algorithms, deep learning fashions, and predictive analytics, AI facilitates precise drug formula and optimization. This paper explores the combination of AI technology in predicting drug degradation, optimizing formulations, and enhancing drug transport systems.AI-driven predictive models for stability, real-time monitoring structures, and customized medicinal drug methods. Despite these innovations, demanding situations consisting of records high-quality, interpretability of AI models, and regulatory issues stay. This assessment highlights current trends, case studies, and destiny instructions, underscoring AI's capability to revolutionize drug development and enhance therapeutic effects

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Publication Details

Journal
International Journal of Recent Research and Review
Published
2024-08-15
DOI
https://doi.org/10.62233/ijrrr13
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
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article

AI-Driven Advances in Pharmaceutics: Enhancing Drug Stability and Efficacy

Vishal Garg, Ajay Kumar Saini, Jitendra Saini, Narsingh Rajpoot et al.
International Journal of Recent Research and Review
Computational Drug Discovery Methods
article

AI-Driven Advances in Pharmaceutics: Enhancing Drug Stability and Efficacy

Vishal Garg, Ajay Kumar Saini, Jitendra Saini, Narsingh Rajpoot, Vipin Singhal
article en

Abstract

Artificial intelligence (AI) is remodeling the sphere of pharmaceutics by using drastically improving drug balance and efficacy. Through superior machine getting to know algorithms, deep learning fashions, and predictive analytics, AI facilitates precise drug formula and optimization. This paper explores the combination of AI technology in predicting drug degradation, optimizing formulations, and enhancing drug transport systems.AI-driven predictive models for stability, real-time monitoring structures, and customized medicinal drug methods. Despite these innovations, demanding situations consisting of records high-quality, interpretability of AI models, and regulatory issues stay. This assessment highlights current trends, case studies, and destiny instructions, underscoring AI's capability to revolutionize drug development and enhance therapeutic effects

International Journal of Recent Research and ReviewVol. XVII(3)
Vivekananda Global University (IN), Global University (LB)
Good health and well-being
Openalex Percentile: Top 84%
Computational Drug Discovery Methods
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