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1192 articles for “transformation”
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AI-Powered Pharmacovigilance: Revolutionizing Adverse Drug Reaction Detection, Reporting, and Future Perspectives-A Review
Abstract: Pharmacovigilance is very important in drug safety as it monitors, identifies and prevents adverse drug reactions (ADR). Conventional pharmacovigilance systems are usually limited by underreporting and delay in signal detection as well as the inability to scale up. The pharmacovigilance sphere is undergoing a seismic shift with the arrival of AI. The use of AI-driven tools, such as machine learning and natural language processing, is transforming how ADR detection is …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 01–07 Read article
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Clone-Specific Drug Delivery Systems: Targeted Approaches and Future Clinical Applications
Abstract: Clone-specific drug delivery systems represent a transformative frontier in personalized medicine, addressing the longstanding challenge of clonal heterogeneity within diseases such as cancer, infectious diseases, and autoimmune disorders. Traditional drug delivery platforms often fail to discriminate between pathogenic and healthy cells, leading to systemic toxicity and reduced therapeutic efficacy. In contrast, clone-specific systems aim to selectively target and eliminate disease-driving cellular clones based on unique molecular signatures, thereby improving treatment …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 21–29 Read article
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A Comparative Study of Deep Learning Methods for Depression Detection in Social Media Data
Abstract: With the rise of social media platforms like Twitter, Reddit, and Facebook, individuals increasingly share personal information about their moods, behaviors, and mental states. This trend provides a unique opportunity to leverage large-scale textual data for understanding and monitoring mental health conditions, particularly depression, a prevalent and challenging mental health issue. Traditional depression assessments are often confined to clinical environments and lack the capacity for real-time monitoring. In contrast, social …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 55–65 Read article
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3D-Printed Polymeric Drug Delivery Systems for Personalized Medicine
Abstract: Personalized medicine has revolutionized healthcare by tailoring treatments to individual patient needs. Among the emerging technologies, 3D printing has demonstrated immense potential in fabricating polymeric drug delivery systems with precise control over drug release, dosage, and bioavailability. These systems offer customized therapeutic solutions, improving efficacy while reducing adverse effects. This paper provides an overview of 3D-printed polymeric drug delivery systems, discussing the types of polymers used, fabrication techniques, applications in …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 313–325 Read article
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Revolution of Artificial Intelligence and Machine Learning
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are profoundly transforming various industries by introducing groundbreaking technologies such as deep learning, federated learning, reinforcement learning, and natural language processing. These innovations are not only reshaping the way organizations operate but are also opening new avenues for solving complex problems across diverse sectors, including healthcare, finance, transportation, and more. This study provides a comprehensive exploration of these emerging technologies, emphasizing their practical …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 38–44 Read article
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Computer and Commerce – Relationship for The Future
Abstract: The relationship between computers and commerce has evolved dramatically over the past few decades, transforming the way businesses operate and how consumers interact with markets. This synergy continues to grow and holds significant potential for the future. Computers, through advancements in artificial intelligence (AI), machine learning, cloud computing, and big data analytics, have revolutionized commerce by enhancing efficiency, improving decision-making, and fostering innovation. In the future, we can expect even …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 42–59 Read article
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Cyber Movement in India: Trends and Challenges
Abstract: India’s digital transformation has led to a rapid expansion of its cyber ecosystem, making it one of the fastest-growing internet economies in the world. This digital revolution is marked by the growth of online infrastructure, a surge in internet users, and the integration of cutting-edge technologies such as AI, blockchain, and 5G. Yet, it also brings its own distinct challenges. Emerging trends such as the rise of digital payments, e-governance, …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 2, 2025 · pp. 13–24 Read article
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Mind-Machine Synergy: The Evolution and Future of Brain-Computer Interfaces
Abstract: Brain-Computer Interfaces (BCIs) represent a transformative technology that enables the direct communication between the human brain and external devices, bypassing the traditional output mechanisms, such as speech or physical movement. BCIs hold the potential to revolutionize fields, such as healthcare, neuroscience, and human-computer interaction by providing new ways to restore lost functions, enhance cognitive abilities, enable seamless communication, and create novel user experiences across various platforms and environments. This article …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 19–31 Read article
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Innovations in Tuberculosis Management: Advancements in Drug-Resistant TB Treatment and Rapid Diagnostics
Abstract: Tuberculosis (TB) remains one of the deadliest infectious diseases worldwide, exacerbated by the increasing prevalence of drug-resistant strains, such as multidrug-resistant (MDR-TB) and extensively drug-resistant TB (XDR-TB). Despite advancements in first-line and second-line treatments, resistance to conventional antibiotics has complicated therapeutic strategies, necessitating novel approaches. This mini review explores emerging advancements in TB treatment, including gene editing technologies, such as CRISPR, which offer potential for precise targeting of drug-resistant bacterial …
Published in International Journal of Antibiotics · Vol. 2, Issue 2, 2025 · pp. 1–7 Read article
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Study on Partial Replacement of Cement with Pinus Fiber and Nano Silica in M30 Concrete Paver Blocks: A Fiber-Reinforced Polymer-Cement Composite Approach
Abstract: This study investigates the partial replacement of cement in M30 grade concrete paver blocks using nano silica and Pinus fiber, with a primary focus on mechanical performance, sustainability, and long-term durability and promoting sustainability. Portland cement, a major contributor to global CO₂ emissions, can be partially substituted using supplementary materials to create eco-efficient construction solutions. Nano silica, due to its high pozzolanic reactivity and ultrafine size, improves the microstructure and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 63–76 Read article
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A Comparative Study to Assess the Level of Satisfaction with Nursing Care Services Among the Patients Admitted in the Selected Government and Private Hospital of District Mohali, Punjab
Abstract: Introduction: The global healthcare environment is undergoing significant transformation. Within this dynamic setting, nursing care plays a crucial role in patient outcomes. Today, patient satisfaction with nursing care is widely recognized as a key indicator of overall hospital service quality. Assessing patient satisfaction from a patient-centered perspective has become an essential part of modern quality management systems in hospitals. Since nursing care constitutes a fundamental part of healthcare delivery, its …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 2, 2025 · pp. 9–16 Read article
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Online Skill-boost Platform (Eduverse)
Abstract: Eduverse is a cutting-edge, web-based educational platform developed to transform the way coding is taught and learned. It focuses on making programming more accessible, engaging, and effective by combining gamification techniques, AI-powered personalized tutoring, and hands-on coding challenges inspired by real-world problems. Unlike traditional learning environments that often rely on static lessons and limited interaction, Eduverse offers a dynamic and adaptive experience tailored to individual learning styles and skill levels. …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 01–06 Read article
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Nitro IDE: Exploring Integrated Development Environments: Current Trends and Innovations
Abstract: Integrated Development Environments (IDEs) have become essential in modern software development, offering a centralized platform that brings together source code management, debugging tools, version control, and compilation features. This study offers an in-depth analysis of various IDE platforms, with a particular focus on Eclipse as a widely used open-source integration environment. It also explores specialized IDEs tailored for embedded systems and enterprise-level Java (J2EE) application development. Additionally, the study examines …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 35–40 Read article
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Cost-Effective Conversion Techniques of Scrap Bicycles into Intelligent Electric Bicycles: A Review
Abstract: Over the past few years, there has been an overwhelming increase in requirement of sustainable and affordable urban mobility solutions both due to the environmental concerns along with the rising fuel prices and urban traffic jams. Electric bicycles (e-bike) have become an efficient option as a substitute to traditional modes of transport which are similar to conventional tools since they have low emissions and are energy efficient as well as …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 30–40 Read article
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Computational Intelligent Techniques for Enhancing the Capabilities and Efficiency of Smart Water Meters
Abstract: In recent years, the realm of smart water meters has undergone a transformative evolution driven by the integration of computational intelligent techniques. This research work embarks on an exploration of the multifaceted applications of these techniques, delving into their profound impact on enhancing the functionality and efficiency of smart water meters. The convergence of artificial intelligence (AI) and machine learning (ML) algorithms with smart water meters presents a paradigm-shifting opportunity …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 66–74 Read article
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AutoGen Bike: A Self-Sustaining Smart Electric Bike with Integrated AI Safety Systems
Abstract: This is the paper which gives the information about the self-sustaining electric bike. This also tells the idea about how energy is produced during its usage. The “Auto gen bike” is the most useful aspect that can change the future of the electric bikes. This also helps in the conservation of natural resources and nature. This also helps in the accidents happening to the two-wheel vehicle. This is achieved by …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 41–49 Read article
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Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitate the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Thermal Engineering and Applications · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
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Chemical Modifications and Tensile Properties of Areca Leaf Sheath Fiber Reinforced Polymer Composites: A Comprehensive Review
Abstract: Areca leaf sheath (ALS) fiber is a promising eco-friendly material, offering a sustainable, lightweight, and cost-effective alternative for low-strength applications. Its natural biodegradability aligns well with the growing global demand for environmentally responsible materials. This review explores the transformative effects of chemical treatments, such as alkali, silane, and benzoylation, on the tensile properties of Areca leaf sheath fibers. Among these, alkali treatment consistently demonstrates the most significant improvement in tensile …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 94–106 Read article
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Fuzzy Probability Distributions and Their Applications in Uncertain Data Analysis
Abstract: This study explores the use of fuzzy probability distributions in data analysis under uncertain conditions, with a specific focus on their implementation in evaluating call center customer satisfaction. Traditional probability models rely on precise parameters, often failing to account for the inherent variability and subjectivity present in real-world data. In contrast, fuzzy probability distributions, which integrate fuzzy logic principles, offer a more adaptable and realistic framework for addressing such complexities. …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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Short Review: The Expanding Role of Shape Memory Alloys in Technology and Medicine
Abstract: Shape Memory Alloys (SMAs) are a unique class of smart materials that can recover their original shape when exposed to specific stimuli, such as temperature or magnetic fields. This exceptional property, attributed to the martensitic phase transformation, has garnered significant interest in various industries. SMAs exhibit remarkable characteristics such as pseudoelasticity, high corrosion resistance, excellent biocompatibility, and superior fatigue strength, making them ideal for applications in biomedical, aerospace, automotive, and …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 3, 2025 · pp. 35–44 Read article