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38 articles for “early diagnosis”
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Advancing Early Detection of Menkes Disease Through Image Analysis and Biosensor Integration
Abstract: Menkes disease, a rare X-linked recessive disorder of copper metabolism, poses significant challenges in early diagnosis due to its nonspecific initial symptoms. This paper presents a comprehensive approach to enhance the early detection of Menkes disease by leveraging image processing techniques, pattern recognition algorithms, and innovative biosensor technologies. A novel framework is proposed that combines analysis of hair microscopy images, facial feature recognition, and copper-sensitive biosensors to create a multi-modal …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 24–34 Read article
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The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment
Abstract: Artificial intelligence (AI) is increasingly reshaping mental health care by supporting early identification of mental health conditions, improving diagnostic accuracy, and enabling personalized intervention strategies for disorders such as depression, anxiety, and post-traumatic stress disorder. Advanced AI technologies, including machine learning algorithms and natural language processing techniques, allow analysis of large-scale behavioral, textual, and speech-based data to identify patterns related to emotional and cognitive health. These tools help clinicians make …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 22–26 Read article
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AI-Driven Hybrid Neural Network Architecture for Medical Image Segmentation: A Novel Approach for Early Disease Detection
Abstract: One of the key factors in detecting early diseases is medical image segmentation. Medical image segmentation can be very complex due to the differences in image quality, noise, and specific anatomical structures of individual patients. A novel approach for a hybrid neural network structure that combines the power of convolutional neural networks, and the transformer-based models is described here for improved accuracy and robustness of medical image segmentation. Unlike traditional …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 1–7 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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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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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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A Descriptive Study on Current Trends in the Diagnosis and Management of Diabetic Foot
Abstract: Diabetic foot is a major and frequently occurring complication of diabetes mellitus, significantly contributing to patient morbidity, increased hospital admissions, and a higher risk of lower limb amputations. Timely identification and proper management are crucial to halt disease progression and enhance patient outcomes. This descriptive study focuses on examining current practices and advancements in the diagnosis and management of diabetic foot within clinical settings. The study highlights modern methods used …
Published in International Journal of Medical Surgical Nursing · Vol. 9, Issue 1, 2026 · pp. 23–33 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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A Study on Autoimmune Diseases and Their Effects on Body Systems
Abstract: Autoimmune diseases are disorders in which the immune system mistakenly attacks the body’s own healthy cells, tissues, and organs instead of protecting them from harmful substances. This abnormal response results in inflammation, tissue injury, and impaired function of different organs. The purpose of this study is to present a general understanding of autoimmune disorders and explore their impact on multiple body systems, such as the musculoskeletal, nervous, endocrine, cardiovascular, and …
Published in International Journal of Immunological Nursing · Vol. 12, Issue 1, 2026 · pp. 22–26 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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Adolescent GynaecologyGynecology: Navigating Reproductive Health in the Transitional Years
Abstract: Adolescence is a critical developmental stage characterized by rapid physical, emotional, and reproductive changes. During this period, girls commonly experience gynecological issues that differ from those seen in adult women and require age-appropriate care. Menstrual disturbances are among the most prevalent concerns, including dysmenorrhea and heavy menstrual bleeding, which can significantly impact daily activities, school attendance, and quality of life. Hormonal disorders, such as Polycystic Ovary Syndrome (PCOS), are also …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 1, 2026 · pp. 8–14 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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Crop Disease Classification and Detection Using Deep Learning Approach
Abstract: Early diagnosis of plant diseases is essential because they have an effect on the evolution of their unique species. For the identification and classification of plant diseases, a variety of Machine Learning (ML) models have been employed, but with the advent of Deep Learning (DL), a subset of ML, this area of research now seems to offer substantial potential for increased accuracy. The 4th most common staple food consumed worldwide …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 22–27 Read article
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Risk Factor Analysis of Restless Legs Syndrome in Type 2 Diabetes Mellitus Patients
Abstract: Background: Diabetes is a global epidemic in India. The highest prevalence is estimated of 79.4 million by 2030. Diabetes Mellitus has been associated with secondary form of RLS. Aim: This study is to assess the possible risk factor for RLS development in Type 2 Diabetes Mellitus patients. Methods: This retrospective study focused on 120 Type 2 Diabetes Mellitus patients who were selected by using convenient sampling technique. The tool consisted …
Published in International Journal of Cardiovascular Nursing · Vol. 6, Issue 2, 2020 · pp. 10–14 Read article
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Telecare and Palliative Care
Abstract: Digital technologies offer new opportunities for the transformation of the health care system, including new approaches to personalized prevention, treatment and care, independent living, integrated health and social care, accelerated scientific advances in early diagnosis and disease prevention. Home health care, which involves a complex and responsible service, is provided by nurses licensed to work independently. The goals of home health care are to enable patients to take care of …
Published in International Journal of Geriatric Nursing · Vol. 6, Issue 1, 2023 · pp. 26–33 Read article
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Are nurses aware regarding danger signs of labour? A cross- sectional screening in a tertiary care centre in north India”
Abstract: : Awareness of danger signs during labour is one of the essential aspects of maternal well being that enhances early diagnosis and treatment as it augments reduction in maternal and infant mortality. The objective of the study was to assess the knowledge regarding danger signs of labour among the nurses and to find out the association between the selected demographic variables and their knowledge score. A cross sectional descriptive research …
Published in International Journal of Nursing Critical Care · Vol. 2, Issue 2, 2016 · pp. 19–23 Read article
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Effectiveness of Structured Teaching Programme on Knowledge Regarding First Aid Measures among Primary School Teachers
Abstract: ABSTRACTIntroduction: Teachers play very important role in early diagnosis of minor injuries, giving reference to medical personal and also promotion of first aid measures among children in their schools. School children will spend their more time with respective school teachers. First aid is the immediate and temporary care given to an injured or sick person until the services of a physician can be obtained. Proper immediate care is sometimes necessary …
Published in International journal of Nursing Science Practice and Research · Vol. 6, Issue 2, 2020 · pp. 17–23 Read article
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Role of Nurse in Ensuring Normal Newborn Care
Abstract: Newborn care is an essential activity performed by each and every healthcare worker and it is animportant responsibility of every nurse to provide best care to every newborn for promotion of healthand prevention of illness/complications. Early diagnosis and prompt treatment is the basicresponsibility of every nurse along with providing health education and information regardingevidence-based methods of newborn care with importance of providing proper newborn care to everynewly mother.
Published in International Journal of Pediatric Nursing · Vol. 7, Issue 2, 2021 · pp. 11–15 Read article
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A study to assess knowledge of postnatal mothers regarding home care of low birth weight babies in selected hospital of Bhopal
Abstract: Introduction: The proper development of a baby is influenced by factors such as proper nutrition, clean environment, sufficient antenatal care, and the awareness of pregnant mothers regarding these aspects. Infants with low birth weight, which is defined as less than 2.5 kg, are at higher risk of experiencing various health issues due to the immaturity of essential organs such as the brain, lungs, heart, kidneys, and liver. These infants may …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 9, Issue 1, 2023 · pp. 30–37 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