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Vishal Garg
Ajay Kumar Saini
Jitendra Saini
Vipin Kumar Singhal
Narsingh Rajpoot
Keywords:
AI-driven predictive, technologies, predictive analytics, optimizing formulations, Artificial intelligence
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.
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International Journal of Recent Research and Review
ISSN: 2277-8322
Vol. XVII, Issue 3
September 2024
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PUBLISHED
September 2024
ISSUE
Vol. XVII, Issue 3
SECTION
Articles
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