ISSN: 2277-8322 (Online)                                                                   

 International Journal of Recent Research and Review

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Volume-XIX (Issue 1) - JANUARY 2026


 

Next-Generation Pharmaceutics: AI-Assisted Drug Design, Nanotechnology, and Advanced Therapeutic Delivery Systems

 

 

Kajal Gupta

Mansi Sharma

Indu Sharma

Shivakshi Shukla

 

Keywords: Artificial intelligence, Drug design, Nanotechnology, Drug delivery systems, Predictive modeling, Nanocarriers, Targeted therapy, Controlled release, Precision pharmaceutics.

 

Abstract: Pharmaceutical sciences are undergoing a transformative evolution driven by technological breakthroughs-including artificial intelligence (AI), nanotechnology, and advanced delivery system engineering. AI assisted drug design has emerged as a powerful tool for rapid candidate generation, optimization of pharmacokinetic properties, and reduction of early stage attrition rates. Concurrently, nanotechnology has enabled the development of multifunctional delivery platforms capable of targeted, controlled, and stimuli responsive release of therapeutics. Advanced therapeutic delivery systems, such as lipid nanoparticles, polymeric nanocarriers, and microneedle arrays, have improved the efficacy and safety of small molecules, biologics, and nucleic acid therapeutics. This review synthesizes current progress in AI methodologies applied to medicinal chemistry, highlights nanotechnology based strategies for drug delivery, discusses regulatory and translational challenges, and outlines future opportunities at the interface of computation, material science, and pharmaceutical engineering. Integrating computational intelligence with nanoscale design principles promises to accelerate precision medicine and expand the therapeutic horizon of modern pharmaceutics.

 

 

International Journal of Recent  Research and Review
 

  

 

ISSN: 2277-8322

Vol. XIX, Issue 1
January 2026

 

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PUBLISHED
January 2026
 

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Vol. XIX, Issue 1

 

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