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604 articles for “health application”
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Clinical Medicine Done with Clinical Accuracy
Abstract: The advancement of clinical medicine has progressively underscored the significance of accuracy in diagnosis and therapy. This article examines the concept of "Clinical Medicine Administered with Clinical Precision," emphasising how innovations in diagnostics, data analytics, and personalised treatments are transforming the healthcare environment. Clinicians can provide therapy that is not only successful but also personalised to each patient's requirements by combining evidence-based practices with patient-specific factors including genetic profiles, comorbidities, …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 6–19 Read article
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Layered Metal–Polymer Hybrid Laminates with Embedded Impact Sensors for Connected Automotive Panels
Abstract: The increasing demand for lightweight, intelligent, and structurally reliable automotive components has accelerated the development of multifunctional hybrid materials capable of simultaneously providing superior mechanical performance and real-time structural health monitoring. In this study, a novel layered metal-polymer hybrid laminate incorporating an embedded flexible impact sensor was developed for connected automotive panel applications. The laminate was fabricated using AA6061-T6 aluminum alloy face sheets and a thermoplastic polyurethane interlayer through hot-press …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Blockchain, Evolution, and Future Scope: An Overview
Abstract: A blockchain serves as a transparent and immutable record of transactions, offering unparalleled security and trust in a digital environment. Its decentralized nature ensures that no single authority has control over the network, fostering a level playing field for all participants. While cryptocurrencies such as Bitcoin have popularized blockchain technology, its potential extends far beyond digital currencies. In addition to financial transactions, blockchain can revolutionize various industries, including supply chain …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 2, 2024 · pp. 14–24 Read article
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Autonomous Calibration of Medical Devices Using Synthetic Biosignals and Adaptive Learning
Abstract: The accuracy and reliability of modern biomedical diagnostic devices are critically dependent on effective calibration mechanisms capable of handling dynamic physiological and environmental variations. Conventional calibration approaches, which rely on static reference signals and manual adjustments, are inadequate in addressing challenges such as sensor drift, noise interference, motion artifacts, and long-term performance degradation. To overcome these limitations, this research proposes an innovative AI-driven adaptive biosignal simulation and calibration architecture for …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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MentaLLaMA: Advancing Mental Health Insights with Instruction-Finetuned Large Language Models
Abstract: The growing prevalence of mental health challenges in contemporary society has highlighted the urgent need for advanced, interpretable, and reliable artificial intelligence solutions that can support mental health assessment and intervention. In response to this need, this research introduces a novel collection of open-source, instruction-tuned large language models (LLMs) specifically designed to facilitate transparent and accurate mental health evaluations. Leveraging a newly developed dataset, which integrates multiple tasks and diverse …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 08–15 Read article
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Data-Driven Life Prediction of Fiber-Reinforced Polymer Composites Using IoT Sensing and Machine Learning Algorithms
Abstract: The accurate prediction of fatigue life in fiber-reinforced polymer (FRP) composites remains a major challenge due to their nonlinear, multi-mechanism degradation behavior under variable loading conditions. This study presents a data-driven framework, H-LiProNet, which combines real-time IoT sensing with hybrid machine learning to estimate remaining useful life (RUL) in FRP composites. The proposed system integrates embedded Fiber Bragg Grating (FBG) and acoustic emission (AE) sensors to capture strain and damage …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 116–130 Read article
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Metabolites in Modern Medicine: Decoding the Future of Health and Diseases
Abstract: The end products of many metabolic processes in cells are called metabolites. Each reaction contributes a specific metabolite. Metabolites act as fingerprints of on-going biological processes. Constant changes in cellular composition due to both environmental and internal factors. By analysing the types and presence of metabolites, scientists can effectively reconstruct the inner workings of a cell or organism. In the past, analysing metabolites was a slow and tedious process, often …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 2, 2024 · pp. 1–13 Read article
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Energy-efficient Image Classification on Edge Devices: Implementation and Evaluation
Abstract: Image classification is a computer vision problem where an algorithm determines a class or label for a given image. Various real-time applications like object recognition, medical diagnosis, person recognition, etc. Image classification property on edge devices is useful for autonomous vehicles, surveillance, and healthcare and internet of things deployments. The advancement of deep learning based methods and graphics processing units (GPU) devices allows efficient processing locally. The study utilizes a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 10–18 Read article
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An Overview of Examination of Some Basic Raw Materials for Adsorbent on Approach of Pollutant Mitigation and Treatment
Abstract: This research showcases the basic parameters that are required to produce bio-adsorbent suitable for adsorption process and their important role on treatment of contaminated water environment. The overview of the physicochemical parameters of the raw materials used for the production of the adsorbents, the particle size and the mix ratio were identified as a contributing factor to the rate of contaminants mitigation in the system. The effect of water pollution …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 01–16 Read article
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Safe Routes to School: Best Practice and their Applicability to Urban Context
Abstract: Safe routes to school (SRTS) programs aim to encourage active transportation for children through enhanced safety, accessibility, and infrastructure within the areas surrounding schools. SRTS has become increasingly popular worldwide as a method of promoting public health, decreasing traffic, and promoting community cohesion. Yet bringing SRTS to urban environments comes with special challenges. Urban locations often have high traffic volumes, inadequate pedestrian facilities, socioeconomic inequities, and variable policy backing that …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 31–35 Read article
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Biopolymer-Based Flocculation for Microplastic Removal: Fenugreek and Okra as Sustainable Alternatives to Synthetic Flocculants
Abstract: Microplastic pollution has emerged as a persistent global environmental concern due to its widespread presence in aquatic ecosystems and potential implications for food chains and human health. Conventional removal approaches, particularly the use of synthetic flocculants such as polyacrylamide (PAM), have demonstrated high removal efficiencies in water treatment applications. However, their use is often associated with environmental concerns including toxicity, non-biodegradable residues, and energy-intensive production processes. In this context, the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1119–1128 Read article
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Current Updates On Employability Of Artificial Intelligence In Healthcare Science & Research
Abstract: Over the centuries, tools have been developed to increase refinement to manipulate different tools in many ways to use human digital computers. It can perform the same types of numerical and symbolic operations that can be done by ordinary people, but faster and more reliable. Artificial intelligence algorithms applied to computer applications and software. Include knowledge-based systems. AI is the science that mimics the mental skills of humans in computers. …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 72–77 Read article
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Physiotherapy’s Impact on an Athlete’s Physical and Mental Well-being: A Review
Abstract: Physiotherapists are essential in helping athletes with physical and psychological issues connected to their activity. Effective treatment and the formulation of athletes' expectations regarding the restoration of health issues require a solid interaction between the physiotherapist and the athlete. Thus, when designing a rehabilitation program, it is imperative to take the expectations of the athletes with the specific problem into consideration. Since the dawn of civilization, physiotherapy methods have been …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 2, Issue 1, 2024 · pp. 22–28 Read article
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Advances in Polymer Chemistry for Biomedical Applications: A Focus on Wearable Therapeutic Devices
Abstract: Polymer chemistry has significantly contributed to the evolution of biomedical materials, particularly in the development of wearable therapeutic devices. The combination of biocompatible polymers with advanced composite materials has led to the creation of flexible, durable, and patient-friendly medical support systems. These innovations have transformed healthcare by providing non-invasive and comfortable solutions for managing chronic pain and musculoskeletal disorders. Recent advancements in polymer chemistry have focused on three key areas: …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 7–15 Read article
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Unlocking The Bioactivity Potential: Molecular Insights and Predictions of Salen, Salophen, Allicin, Curcumin, and Piperine
Abstract: In this work, the prediction of the biological activity of several significant molecules, including salen, salophen, allicin, curcumin, and piperine, are discussed. Using Molinspiration software, the molecular properties of these compounds were calculated. These molecules are highly significant due to their extensive potential in medical applications. Salen and salophen, for instance, play crucial roles in cancer chemotherapy and act as inhibitors of angiogenesis. Curcumin is renowned for its antioxidant properties, …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 14–21 Read article
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Catalyst: Free Synthesis of Bioactive Molecules via Green Chemical Principles
Abstract: This study explores the catalyst-free synthesis of bioactive molecules, emphasizing the application of green chemical principles. Traditional synthetic methods often rely on hazardous reagents, solvents, and metal catalysts, which can pose significant environmental and health risks. In contrast, the catalyst-free approach leverages benign reaction conditions, such as solvent-free systems, ambient temperature, and pressure, to achieve efficient and selective transformations. We present a comprehensive investigation into various bioactive molecule syntheses, including …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 1, 2024 · pp. 17–21 Read article
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Revolutionizing Orthopedic Nursing: The Transformative Impact of Artificial Intelligence on Patient Care and Nursing Practices
Abstract: The use of Artificial Intelligence (AI) in orthopedic nursing care has become a game-changer, significantly improving patient care, surgical results, and the efficiency of nursing processes. This review explores the latest trends in AI applications within the field of orthopedic nursing, detailing the scope of these technologies, their impact on patient care, and the challenges faced by healthcare professionals. By examining contemporary literature, this review aims to provide insight into …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 13–17 Read article
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Polymeric Materials in Assistive Devices for Cerebral Palsy: Advances and Applications
Abstract: The neurological condition known as cerebral palsy (CP) impairs muscle coordination and movement often necessitating assistive devices for mobility, support, and rehabilitation. These devices are crucial for enhancing CP patients' quality of life by boosting their independence, comfort, and overall functionality. Recent advancements in polymer chemistry have revolutionized the development of assistive devices, offering enhanced flexibility, durability, and biocompatibility. The integration of polymeric materials in orthotic supports, adaptive braces, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 316–322 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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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