A Review of Artificial Inspiration in Drug Delivery Systems
Kiran B Dhamak, Akshata Pagar, Vinayak M Gaware
Abstract:
By making therapy more precise, effective, and individualized, artificial intelligence (AI) is revolutionizing medication delivery methods. AI helps with drug design, controlled release, dose optimization, and targeted administration through machine learning, deep learning, and natural language processing. We are able technology, biosensors and nanotechnology integration provide adaptive therapies and real-time monitoring, while patient-specific modelling improves personalized medicine. Autonomous drug delivery systems, digital twins, intelligent Nano carriers, and other future advancements are all possible using AI-driven platforms, despite issues with data quality, ethics, regulation, and cost. This change in perspective has the potential to transform pharmaceutical treatment and enhance therapeutic results. This study provides a comprehensive overview of scientific advancements over the last ten years with the goal of igniting interest in the incorporation of various forms of artificial intelligence in AM and MFs as crucial methods for improving the quality standards of customized medicinal applications and lowering variability potency throughout a pharmaceutical process.
Keywords: Artificial Intelligence, Biosensors Machine, Drug Delivery System, Learning, Deep Learning, Personalized Medicine, Patient Specific Modelling, Pharmacogenomics.
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