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119 articles for “healthcare devices”
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Graphene Based Electronic Skin for Wearable Health Monitoring and Human– review on Machine Interaction, Materials, Structures and AI Integration
Abstract: Graphene-based electronic skin (e-skin) has emerged as a transformative technology for next-generation wearable health monitoring and advanced human–machine interaction (HMI). Owing to its outstanding electrical conductivity, mechanical flexibility, atomic-scale thickness, and biocompatibility, graphene enables the fabrication of ultrathin, conformal, and multifunctional sensors capable of mimicking the sensory functions of natural human skin. Over the past decade, research in this domain has progressed rapidly across four interconnected fronts: material synthesis and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Examination of AI Based Virtual Doctor Robot Fabricated Using Composite Material
Abstract: The accessibility and affordability of healthcare have become significant concerns for a substantial portion of the population in the modern era. In the past two decades, there has been a growing emphasis among researchers on the utilization of natural fibers as reinforcements for structural materials that are based on polymers or cementitious materials. The current investigation offers a The Virtual Doctor Robot is a cutting-edge healthcare solution that leverages the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 71–76 Read article
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Biosorption In Polymer Composites: Harnessing the Potential of Natural Materials for Enhanced Mechanical Properties and Efficient Medical Device Fabrication
Abstract: Biosorption is the process by which natural materials take in substances from their surroundings. It has gotten a lot of attention lately because it could be used in many different areas. One interesting way to use it is in polymer compounds, where adding natural materials can improve their dynamic qualities and make it easier to make medical devices. This article talks about how biosorption and polymer composites work together to …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 06–21 Read article
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Development of Web-enabled Smart Hospital Management System: Patient Data Visualization and Real-time Decision Making
Abstract: As everyone is aware, fewer people had access to healthcare services, which prevented many people from receiving the care they needed. The idea that, by WHO criteria, there should be one physician for every 1,000 patients is nearly unbelievable. Yet, India’s current ratio is a staggering 1:1445. This disparity highlights a serious gap in healthcare resources that cannot be ignored. Authors remember speaking with a friend who works in a …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 3, 2024 · pp. 41–46 Read article
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Architectural and Technological Progress in Modern Mobile Computing
Abstract: Over the last decade, mobile technologies have experienced rapid and transformative growth, reshaping the way individuals interact with the world and redefining multiple sectors, including healthcare, education, communication, and commerce. Continuous improvements in mobile hardware, such as faster processors, enhanced sensors, and longer-lasting batteries, have significantly improved device performance and usability. At the same time, the widespread development of mobile applications has expanded the functional scope of smartphones, enabling personalized, …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 1, 2026 · pp. 20–31 Read article
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Pathogens in Nosocomial Infections: Epidemiology, Resistance, and Control Measures
Abstract: Nosocomial infections, also known as healthcare-associated infections (HAIs), are a serious global health issue, leading to higher patient morbidity, prolonged hospital stays, and increased medical costs. Various pathogens—such as bacteria, viruses, fungi, and parasites—are responsible for these infections, especially in healthcare environments where they easily spread. They can be transmitted through direct contact with infected patients, contaminated medical equipment, or even airborne particles.Patients with weakened immune systems, those requiring prolonged …
Published in International Journal of Pathogens · Vol. 2, Issue 1, 2025 · pp. 12–16 Read article
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A Survey of Several Machine Learning (ML) Algorithms for Security Solution in Internet of Things (IoT) Networks
Abstract: The Internet of Things (IoT) refers to the integration of physical objects with the Internet, allowing for connectivity and monitoring. This idea has garnered immense attention from researchers and users alike, driven by the widespread accessibility of the Internet. It spans a wide range of devices, including smart versions of conventional appliances, innovative tools tailored for Internet-enabled ecosystems, and sensors that leverage connectivity to revolutionize industries such as manufacturing, healthcare, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 1–11 Read article
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Artificial intelligence’s role in mental health: Innovations, Challenges, and future prospects
Abstract: Among the many ways in which mental health services are gaining from the integration of artificial intelligence (AI) are improvements in diagnosis, tailored treatment programs, and round the- clock patient help. Two AI-driven solutions are virtual therapists and prediction algorithms, which could increase access to mental health therapy and enable early intervention. However, the application of artificial intelligence in this field raises ethical concerns about privacy, discrimination, and the potential …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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Care Sched: Doctor and Patient Appointment Management
Abstract: The medical appointment system is a web application that uses PHP, JavaScript, and CSS to improve the efficiency of booking medical appointments. It features two interfaces: an admin side where patients and doctors manage their appointments and a user side where they may handle an appointment and to view records, and manage their medicines. The web platform that the system makes available provides a convenient online experience from any internet-enabled …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 1, 2025 · pp. 1–12 Read article
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Remote Monitoring Sensor Systems and Applications in Health Informatics: Fostering Shell Programming
Abstract: The fascination of sensor systems has been promising for health informatics as their direct initiative for real-time information by observing its accuracy that was required at the time for data collection, monitoring and analysis to improve patient well-being and health system administering. By integrating these systems with wearable devices, biomedical sensors, and other IoT-enabled technologies, patients can experience continuous health tracking, early disease detection, and remote patient monitoring. For example, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article
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Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
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Elderly Healthcare Using Federated Learning Approach
Abstract: The healthcare system for elderly people faces several challenges, which can be addressed using advanced machine learning models. These models can help monitor chronic diseases, detect falls, and provide personalized health recommendations. The study uses comprehensive datasets like MIMIC-III/IV, WESAD, and UCIHAR to explore human movements, device limitations, and the differences in fall occurrences. A detailed review of existing literature discusses current technologies for activity monitoring and fall detection, focusing …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 13–23 Read article
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Understanding the Cervical Spine Disorder: A Cross-sectional Survey Study
Abstract: Cervical spine disorders encompass a spectrum of conditions including degenerative spondylosis, disc herniation, traumatic injuries, and myelopathy that impair quality of life through chronic pain, neurological deficits, and functional limitations. Globally, neck pain affects over 200 million individuals, with an age-standardized prevalence of 2666 per 100000 population and an incidence of 816 per 100000 person-years, contributing to significant years lived with disability (YLDs). Economic analyses estimate annual direct healthcare costs …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 80–97 Read article
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Integrating Human-Centric Principles into Machine Design: Ergonomic and Safety Enhancements in Mechanical Systems
Abstract: The integration of human-centric design (HCD) principles into mechanical systems has become increasingly critical in contemporary machine design. As machines become more complex and operate within high-interaction environments, the need for design strategies that prioritize human safety, usability, and comfort has intensified. This review explores how ergonomic insights, safety standards, and user experience (UX) considerations influence the physical configuration, control mechanisms, and operational safety of mechanical systems across industrial, healthcare, …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 33–37 Read article
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TensorFlow: Architecture, Applications, and Future Challenges
Abstract: TensorFlow, an open-source machine learning platform created by Google, has revolutionized how artificial intelligence (AI) systems are built and implemented. Designed to support scalable and flexible model training across CPUs, GPUs, and TPUs, TensorFlow enables researchers and developers to construct advanced deep learning models with efficiency and precision. This study provides an in-depth examination of TensorFlow's architecture, including its use of dataflow graphs and tensor-based computation. We explore its adaptability …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 41–50 Read article
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IoT Meets Cloud: A Smart Integration
Abstract: Digital transformation and industry change are fueled by a combination of cloud computing and the Internet of Things (IoT). While cloud computing gives scalable resources for processing, storage, and advanced analytics, IoT allows devices to gather, distribute, and analyze data in real time. This connection supports big data and machine learning-driven applications and enhances data management and operational efficiency across industries, such as smart cities, industrial automation, healthcare, and agriculture. …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 3, 2025 · pp. 26–34 Read article
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Design and Implementation of a Polymer-Integrated IoT-Based Smart Intravenous Fluid Monitoring System for Patient Safety
Abstract: The intelligent healthcare systems rely more and more on the advanced materials and Internet of Things (IoT) technologies to improve patient safety, patient-centeredness, timeliness of care, clinical efficiency. This paper presents a polymer-enhanced IoT enabled automatic IV Fluid Level monitoring and notification system. The novel system is based on the use of polymer-encapsulated load-cell sensors and polymer-packaged electronic modules, which allow biocompatibility, long-term stability and easy sterilisation in medical environments. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 730–742 Read article
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Advances in Polymer Chemistry for Biomedical Applications: Innovations in Composite Materials
Abstract: Polymer chemistry has seen remarkable progress in recent years, particularly in the biomedical field, where novel polymeric materials are transforming the development of medical devices. These advancements have led to the creation of biocompatible, durable, and multifunctional polymer-based solutions that enhance patient care, surgical precision, and treatment outcomes. The application of polymer chemistry in biomedical sciences has revolutionized medical device manufacturing. Polymers offer unique advantages such as flexibility, biocompatibility, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 287–292 Read article
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Smart Patient Monitoring and Motion Tracking System
Abstract: The integration of smart technologies in healthcare has revolutionized patient monitoring and diagnostics. This paper presents a Smart Patient Monitoring and Motion Tracking System designed for hospitals, leveraging EEG (Electroencephalogram) signals to track patient movements and monitor neurological health. The proposed system combines motion tracking with real time EEG signal analysis to enhance patient safety, especially for individuals prone to seizures, neurological disorders, or other mobility-related risks. The system employs …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 2, 2025 · pp. 9–23 Read article
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Artificial intelligence-integrated nanobiotechnology for precision medicine, smart diagnostics, and sustainable environmental applications
Abstract: Background: Nanobiotechnology integrates nanoscale materials with biological systems, enabling breakthroughs in drug delivery, biosensing, and environmental monitoring. However, the complexity of biological interactions and the vast parameter space of nano‑bio interfaces limit conventional design. Artificial intelligence (AI) offers powerful tools for modelling, predicting, and optimising these systems. Objective: This review provides a systematic, STM‑compliant overview of AI‑integrated nanobiotechnology across three domains: precision medicine (AI‑optimised nanocarriers, personalised therapeutics), smart diagnostics (AI‑powered …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 Read article