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129 articles for “Diagnosis”
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New nanomagnetic bead dot ELISA immunoassay and its application to the detection of Giardial amblia copro antigen
Abstract: The discovery of vegetative forms or cysts of Giardia lamblia in the faeces of infected individuals is the conventional foundation of diagnosis. It has recently been used rather than techniques that rely on subjective microscopy of stool specimens of Giardia cysts, which can facilitate the diagnosis of Giardia lamblia in faecal specimens, with the advent of more objective techniques such as antigen detection, which can facilitate the diagnosis of Giardia …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 7, Issue 2, 2021 · pp. 34–38 Read article
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Implications for Closing the Gaps in Awareness and Treatment to Enhance Care for Rheumatic Heart Disease
Abstract: Rheumatic heart disease (RHD) remains a major preventable cause of cardiovascular morbidity and mortality, particularly in low- and middle-income countries (LMICs) of Asia and Africa. Originating from inadequately treated acute rheumatic fever (ARF) following Group A streptococcal infection, RHD predominantly affects children and young adults and continues to impose a substantial clinical, social, and economic burden. Global Burden of Disease estimates indicate that over 38 million people were affected worldwide …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 41–44 Read article
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Fault-Tolerant Modular Power Converter for Large-Scale Renewable Energy Integration
Abstract: The rapid expansion of large-scale renewable energy systems has significantly increased the demand for highly reliable and fault-resilient power electronic converters capable of maintaining stable grid operation under component failures and fluctuating renewable power generation. This paper proposes a Fault-Tolerant Modular Power Converter (FTMPC) for large-scale renewable energy integration, incorporating a modular multilevel architecture, intelligent fault diagnosis, and adaptive reconfiguration control to ensure uninterrupted power conversion. The proposed converter continuously …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Modeling Twin-Twin Twin-to-Twin Transfusion SyndromeOutcomes: A Comprehensive Review
Abstract: Twin-to-twin transfusion syndrome (TTTS) is a serious complication of monochorionic twin pregnancies, characterized by unequal blood sharing between twins through placental vascular connections. This condition can lead to significant morbidity and mortality if not identified and managed promptly. This review explores the clinical outcomes associated with TTTS, emphasizing factors that influence prognosis and the effectiveness of current treatment modalities. A comprehensive analysis of recent therapeutic interventions, including fetoscopic laser ablation …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 1, 2026 · pp. 26–32 Read article
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A Descriptive Study of Leucorrhea and Its Etiological and Clinical Aspects
Abstract: Leucorrhea, commonly defined as excessive vaginal discharge, is a prevalent concern among women of reproductive age. It can be broadly classified as physiological or pathological. Physiological leucorrhea is usually linked to normal hormonal fluctuations during puberty, ovulation, pregnancy, or the menstrual cycle and is generally harmless. In contrast, pathological leucorrhea may indicate underlying conditions, such as bacterial, fungal, or parasitic infections, hormonal disturbances, poor genital hygiene, or, in rare cases, …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 1, 2026 · pp. 15–20 Read article
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A Case Study on Interstitial Lung Diseases (ILD)
Abstract: Interstitial lung diseases (ILDs) represent a diverse group of diffuse parenchymal lung disorders characterized by significant morbidity and mortality worldwide. Recent advances have led to the development of a new classification system for idiopathic interstitial pneumonias, dividing them into major, rare, and unclassified groups, with a novel approach based on disease behavior. Idiopathic pulmonary fibrosis (IPF) remains the most fatal ILD, demonstrating considerable clinical heterogeneity and poor prognosis. Early diagnosis …
Published in International Journal of Medical Surgical Nursing · Vol. 8, Issue 2, 2025 · pp. 13–20 Read article
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Enhancing Glaucoma Detection with Convolutional Neural Networks: A Data-Driven Approach
Abstract: One of the main causes of irreversible blindness is glaucoma, which is characterized by certain alterations in the optic nerve that over time can impair vision. Manual evaluations, while invaluable, are challenged by inconsistencies, subjectivity, and the extensive time required. The study employed a dataset comprising retinal images annotated by experts. By using Convolutional Neural Networks (CNNs) to study and recognize important patterns in eye images, it was possible to …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 1–6 Read article
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Autoimmune Polyglandular Syndrome Type 1 (APS-1): A Rare Yet Crucial Condition to Recognize
Abstract: Autoimmune Polyglandular Syndrome Type 1 (APS-1), also known as Autoimmune Polyendocrinopathy-Candidiasis-Ectodermal Dystrophy (APECED), is a rare autosomal recessive disorder caused by mutations in the AIRE (Autoimmune Regulator) gene. This syndrome is characterized by a triad of chronic mucocutaneous candidiasis, hypoparathyroidism, and adrenal insufficiency, although it can affect multiple other organ systems. APS-1 arises from a failure of central immune tolerance, resulting in autoimmunity against various endocrine and non-endocrine tissues. The …
Published in International Journal of Immunological Nursing · Vol. 11, Issue 1, 2025 Read article
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Magnetic and radioactive nanoparticles for improved CGT and theranostics application
Abstract: Nanoparticles based therapeutic and theranostics technique is becoming an active area of research in nanomedicine. Nanomedicine as a major application of nanotechnology enables efficient diagnosis procedures, imaging system, therapeutic techniques, and drug delivery system. This research presents an overview of methods that enable integrating both diagnosis and therapeutic techniques which increase efficacy and reduce time. Hence, we look forward on the power of such theranostics techniques which involves the use …
Published in International journal of Nanobiotechnology · Vol. 11, Issue 1, 2025 Read article
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Biotechnological and Biomaterial Innovations for Self-Care Management of Diabetes: A Study on Patient Knowledge and Attitude in Tripura
Abstract: Diabetes mellitus is a global epidemic, with 537 million individuals affected worldwide in 2021, projected to rise to 643 million by 2030 without preventive measures. In India, one in seven diabetic adults resides, and diabetes prevalence rose from 9.3% in 2018 to 9.6% in 2022, projected to reach 10.4% by 2030. This study focused on evaluating how well diabetes patients in Tripura understand and feel about managing their self-care. Conducted …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 10, Issue 2, 2024 · pp. 1–12 Read article
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Health Monitoring System for Fault Identification on Centrifugal Pump Using ML
Abstract: Centrifugal pumps are crucial equipment widely used in various industries, and their reliable operation is essential for maintaining production and preventing costly downtimes. This paper proposes a comprehensive health monitoring system for centrifugal pumps that combines model-driven and data- driven approaches, leveraging artificial intelligence (AI) and machine learning (ML) techniques. The system incorporates demand prediction using artificial neural networks and fault diagnosis employing different ML classifiers, such as decision trees …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 2, 2024 · pp. 1–12 Read article
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UNDERSTANDING NIPAH VIRUS INFECTION: ACOMPREHENSIVE OVERVIEW
Abstract: Nipah virus (NiV) infection is a zoonotic disease caused by the Nipah virus, primarily found in bats of the Pteropus genus. Since its identification in 1999 during an outbreak in Malaysia, NiV has emerged as a significant public health concern, particularly in Southeast Asia. This abstract provides a comprehensive overview of Nipah virus infection, covering its epidemiology, transmission, clinical manifestations, diagnosis, treatment, prevention, and global health implications. Epidemiology: Nipah virus …
Published in International Journal of Animal Biotechnology and Applications · Vol. 10, Issue 1, 2024 · pp. 18–22 Read article
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An In-depth Exploration: Unveiling the Computational Resources Utilized in Cancer Research
Abstract: It is a major challenge leading to mass morbidity and mortality in cancer, despite the efforts and clinical trials in the past. Cancer is a very crucial field of research that directly concerns human life that requires early identification, diagnosis, prognosis, and therapeutics. The resources and web servers play very important roles in cancer genomics and medical image analysis. Computational intelligence (is a set of computational methodologies involving design, application, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 10–20 Read article
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Malaria Detection using Machine Learning
Abstract: A life-threatening disease called Malaria is caused by parasites that get transmitted intopeople's body by the bites of infected mosquitoes. If Automation is used for the diagnosisprocess of this disease it will enable accurate diagnosis of the disease and hence it willdeliver a reliable health-care to resource-scarce areas. Currently malaria is being diagnosedby performing microscopic tests on blood smears of the patients. They require examinationby a skilled and well experienced …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 6, Issue 1, 2020 · pp. 40–44 Read article
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Breast Tumor Classification Using Machine Learning Algorithm
Abstract: Breast cancer is characterized by genetic mutations, periodic pain, changes in the length, color (redness) and texture of the breast skin. The categories of most types of breast cancer led the pathologist to a systematic and objective prognostic analysis. In general, the most common category is binary (benign/malignant). Today, Learning Gadget (ML) strategies are widely used in breast cancer classification problems. Offers extreme accuracy and powerful diagnostic technology. It kills …
Published in International Journal of Microwave Engineering and Technology · Vol. 8, Issue 1, 2022 · pp. 35–40 Read article
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Nanomedicine as a Potential Therapeutic Approach to COVID-19.
Abstract: A major contribution of nanotechnology has been the rapid and accurate diagnosis of COVID-19. The ability to work with matter at the nanoscale has led to the development of extremely sensitive and precise diagnostic tools, which have aided in the containment and management of the pandemic. Though we continue to face challenges, nanotechnology holds great promise for the medical field and offers hope for the fight against future epidemics. Using …
Published in International Journal of Applied Nanotechnology · Vol. 9, Issue 2, 2023 · pp. 27–35 Read article
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Nanomechanics in Medicine
Abstract: Nanomechanics, an emerging field at the intersection of nanotechnology and mechanics, holds great promise for revolutionizing medicine. This article explores the significant role of nanomechanics in various aspects of healthcare, including diagnostics, drug delivery, tissue engineering, and cancer detection.One of the key applications of nanomechanics in medicine is in the development of nanomechanical sensors for disease detection. These sensors can detect biomarkers associated with diseases such as cancer at very …
Published in International Journal of Applied Nanotechnology · Vol. 9, Issue 2, 2023 · pp. 22–26 Read article
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Clinical Evaluation of the Oncology Malignancies by Using Biosensors
Abstract: The rapid, economical, and sensitive diagnostic methods for the detection of cancer are of tremendous importance for clinical applications. These methods could enable rapid, point-of-care (POC) applications requiring immediate diagnosis. The traditional diagnostic and detection methodologies have their own limitations, like the need of complex and expensive instrument. Biosensors have received much attention in recent years. The biosensors can centrally serve as low-cost and highly able devices that are capable …
Published in International journal of Nanobiotechnology · Vol. 1, Issue 1-2, 2015 · pp. 1–4 Read article
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Revolutionizing Medicine: The Promising Future of Nanobiotechnology
Abstract: Nanobiotechnology is an emerging field that combines the principles of nanotechnology and biology to develop innovative solutions for various applications in medicine, such as drug delivery, imaging, and disease diagnosis. This piece presents a summary of the present status of nanobiotechnology and its capacity to transform the field of medicine. The article discusses the various nanomaterials used in nanobiotechnology, including nanoparticles, nanotubes, and nanofibers, and their properties that make them …
Published in International journal of Nanobiotechnology · Vol. 8, Issue 2, 2022 · pp. 1–7 Read article
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Microscopic Avengers: The Rise of Nanorobots in Biomedical Engineering
Abstract: Nanorobotics is an emerging field at the intersection of nanotechnology and robotics, offeringa promising new frontier in biomedical engineering. Nanorobots, at the scale of a fewhundred nanometres, are designed to perform a variety of tasks within the human body,ranging from targeted drug delivery to precise surgical procedures. This article explores theevolution, design, functionality, and applications of nanorobots in biomedical engineering,highlighting their potential to revolutionize healthcare.The evolution of nanorobots has seen …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 9, Issue 2, 2023 · pp. 10–15 Read article