Publications by authors named "Chintan Aundhia"

This review explores the transformative impact of AI on drug development and delivery in pharmaceutical sciences, spanning formulation design, real-time monitoring, targeted delivery, and future prospects. The rational design of smart drug carriers, such as AI-optimized liposomes for cancer therapy, optimizes formulations for individual patient needs. AI-driven sensors, exemplified by glucose-monitoring biosensors for diabetics, enable adaptive drug administration, enhancing precision.

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Inflammation is a complex biological response that plays a pivotal role in various pathological conditions, including inflammatory diseases. The search for effective therapeutic agents has led researchers to explore natural products due to their diverse chemical composition and potential therapeutic benefits. This review comprehensively examines the current state of research on natural products as potential therapeutic agents for inflammatory diseases.

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Gene therapy is a revolutionary approach aimed at treating various diseases by manipulating the expression of specific genes. The composition and formulation of ultra-deformable vesicles play a crucial role in determining their properties and performance as siRNA delivery vectors. In the development of ultra-deformable vesicles for siRNA delivery, careful lipid selection and optimization are crucial for achieving desirable vesicle characteristics and efficient siRNA encapsulation and delivery.

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Light-sensitive liposomes have emerged as a promising platform for drug delivery, offering the potential for precise control over drug release and targeted therapy. These lipid-based nanoparticles possess photoresponsive properties, allowing them to undergo structural changes or release therapeutic payloads upon exposure to specific wavelengths of light. This review presents an overview of the design principles, fabrication methods, and applications of light-sensitive liposomes in drug delivery.

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The objective of present work was to utilize potential of nanostructured lipid carriers (NLCs) for improvement in oral bioavailability of raloxifene hydrochloride (RLX). RLX loaded NLCs were prepared by solvent diffusion method using glyceryl monostearate and Capmul MCM C8 as solid lipid and liquid lipid, respectively. A full 3(2) factorial design was utilized to study the effect of two independent parameters namely solid lipid to liquid lipid ratio and concentration of stabilizer on the entrapment efficiency of prepared NLCs.

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