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    Nanotechnology innovation: AI-enhanced polymer drug delivery systems
    (Walter de Gruyter GmbH, 2025) Usama Ahmad; Wan Nurhidayah Wan Hanaffi, Khan Aejaz Ahmed
    The confluence of polymer nanotechnology with artificial intelligence (AI) is revolutionizing drug development and targeted drug delivery, ensuring unprecedented precision in therapeutics. By coupling data analytics with AI-driven polymeric nanocarrier systems, the technology surpasses the constraints of traditional drug delivery, including bioavailability and patient-specificity, by virtue of superior design, encapsulation efficiency, and controlled release mechanisms for the drug. Predictive modeling and machine learning algorithms aid AI in optimizing drug–polymer interaction and optimizing the physicochemical characteristics of polymer nanocarriers so that therapeutics are released accurately and controllably at target sites to reduce side effects. AI’s capability to forecast the interaction of disease-specific, biocompati ble, and responsive polymers for patient profiles advances the principle of precision medicine. Improved encapsulation efficiency and optimized kinetics by AI-driven processes maximize the direct delivery of therapeutics to the target site with optimal doses for enhanced bioavailability and therapeutic efficacy. The amalgamation of AI with polymeric nanotechnology thus enables drug discovery in the rapid prototype and optimization of nanocarrier systems to deliver precise, individualized drug delivery with high accuracy to diverse therapeutic domains. This chapter discusses the development potential of AI-fortified polymer-based drug delivery systems, their ability to maximize the efficacy and selectivity of treatment regimens. With AI-driven innovation, polymer nanotechnology has the ability to improve patient treatment through highly personalized and potent medical options, beginning a new era of tailored medicine and new paths of drug innovation.
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    Navigating AI Regulations: A Global Outlook with a Special Focus on India
    (Satyam Law International, New Delhi, India, 2025) Wasim Ahmad, Mohd. Tahir Husain
    The rapid advancement of Artificial Intelligence (AI) has raised significant concerns regarding its ethical use, data privacy, and regulatory oversight. As AI becomes deeply integrated into various sectors, governments worldwide are formulating governance frameworks to ensure responsible and transparent AI deployment. This chapter explores the global landscape of AI regulations, highlighting key policies from leading economies such as the European Union, the United States, and China. It provides an in-depth analysis of India’s evolving AI regulatory approach, with a special focus on the Digital Personal Data Protection (DPDP) Act, 2023 and its implications for AI governance. The chapter also examines crucial aspects such as data privacy, bias mitigation, accountability, transparency, and ethical AI deployment. It also delves into India’s strategy in balancing innovation with regulation, comparing its stance with global best practices. Furthermore, the chapter also addresses challenges in AI governance, including enforcement gaps, the role of regulatory bodies, and potential future developments. By providing a comparative analysis of AI regulations, this chapter offers insights into how India can shape a robust and forward-looking AI policy framework while aligning with international standards.
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    Application of Digital Technologies & Remote Sensing in Precision Agriculture for Sustainable Crop Production
    (Springer Nature, 2024) Mohammad Usama
    Abstract Soil is an abiotic component of environment which provides habitat for soil microflora and fauna which is very essential for good health. Anthropogenic activities can alter soil and affect health of soil. These activities include excess use of chemical fertilizers, pesticides, irrigation, faulty agricultural practices, modern machinery, shifting cultivation etc. Alternative exists in the form of precision agri-culture, as it will help in practicing agriculture in a way that will contribute towards sustainable rural development. The challenge for rural India is to feed more people from shrinking agricultural land and without having much negative consequence on our environment. This may be possible through precision agriculture as we have the correct information collected through satellite as well as aerial imagery about weather conditions and the needs of our agricultural land and also about crops in terms of requirement of fertilizers, pesticides, irrigation facility etc. By adopting precision agriculture, we would be able to rejuvenate and maintain good soil health. So, precision agriculture can be called the future of sustainable agriculture in India and around world, as this only has the potential to feed the millions of people with least negative consequence on Human life and Environment.