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38 articles for “early diagnosis”
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Bone Mass Density and Osteomyelitis in Elderly-An Overview
Abstract: Bone mass density (BMD) plays a critical role in skeletal health, particularly in the elderly, where age-related bone loss increases susceptibility to infections such as osteomyelitis. Osteomyelitis, a severe bone infection often caused by Staphylococcus aureus, is more prevalent in older adults due to factors such as osteoporosis, impaired immune function, diabetes, and peripheral vascular disease. Reduced BMD weakens bone integrity, making it more vulnerable to fractures and microbial invasion, …
Published in International Journal of Geriatric Nursing · Vol. 8, Issue 1, 2025 Read article
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Maculopathy Detection and Recommendation using Machine Learning
Abstract: Maculopathies, a diverse group of eye diseases affecting the central portion of the retina, the macula, are a leading cause of vision loss globally. Early detection and accurate diagnosis are critical for timely intervention and preventing irreversible vision loss. However, traditional methods such as manually detecting the disease are time-consuming, tiring, and often lack sensitivity and specificity, hindering optimal patient care. Here we delve into the applications of machine learning …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 10–16 Read article
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Nano-Sensors in Cancer care: A Study
Abstract: Nano, Sensors, Cancer, Healthcare, Nanoscale, Nanoparticles. Abstract: Cancer remains a leading cause of mortality worldwide, highlighting the urgent need for innovative approaches to early detection, accurate diagnosis, and effective treatment. Traditional methods often fall short in identifying cancer at its nascent stages or lack the precision required for personalized therapies. Emerging nanotechnology, particularly the development of nano-sensors, offers a promising solution to address these limitations, paving the way for a …
Published in International journal of Nanobiotechnology · Vol. 11, Issue 2, 2025 Read article
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Nano-Sensors in Cancer care: A Study
Abstract: Cancer remains a leading cause of mortality worldwide, highlighting the urgent need forinnovative approaches to early detection, accurate diagnosis, and effective treatment. Traditionalmethods often fall short in identifying cancer at its nascent stages or lack the precision requiredfor personalized therapies. Emerging nanotechnology, particularly the development of nano-sensors, offers a promising solution to address these limitations, paving the way for a new era incancer care. This article explores the transformative potential …
Published in International journal of Nanobiotechnology · Vol. 11, Issue 2, 2025 Read article
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Image Enhancement and Lung Cancer Detection Using Anisotropic Diffusion Filter
Abstract: The leading cause of cancer-related deaths globally is lung cancer. According to the Global Cancer Statistics lung cancer is the leading cause of cancer-related fatalities with 1.8 million deaths and 2.1 million new cases. Early detection of a tiny tumor can stop cancer from spreading and greatly enhance prognosis and survival rates. Consequently, the creation of a sophisticated computer-aided diagnosis system (CADS) may be advantageous for the early therapy of …
Published in International Journal of Analytical and Applied Chemistry · Vol. 9, Issue 1, 2023 · pp. 21–29 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 Read article
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Automated Diagnosis and Drug Delivery System for Colon Cancer Using Biosensors and Nanostructures
Abstract: Colorectal cancer stands as a significant global health challenge, necessitating innovative approaches for early detection and effective treatment. This paper presents a novel framework for addressing this challenge by integrating biosensors with nano materials and nano structures to create an automated system for colon cancer diagnosis and treatment. The proposed system leverages the unique properties of biosensors for real-time disease detection and the advanced capabilities of nano materials and nano …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 10, Issue 1, 2024 · pp. 10–23 Read article
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Classification of Fetal ECG Arrhythmia by Using Advance Hybrid Deep Learning Technique CNN-LSTM
Abstract: Fetal heart abnormalities, particularly fetal heart arrhythmias, are becoming an increasing concern in maternal healthcare. Early and accurate detection remains challenging due to limitations in conventional diagnostic techniques and inadequate signal processing methods. Existing studies have applied various machine learning and deep learning approaches; however, capturing the complex characteristics of fetal electrocardiogram (ECG) signals remains a significant gap. This study proposes an advanced deep learning-based approach for detecting fetal heart …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 27–36 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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Communication Profile of a Child Suspected to Have Saethre-Chotzen Syndrome: A Case Report
Abstract: Saethre-Chotzen Syndrome (SCS) is a rare congenital craniosynostosis syndrome characterized by craniofacial anomalies, limb abnormalities such as syndactyly, and varying degrees of developmental and cognitive delays. While its genetic and structural features are well-documented, there is limited literature detailing the communication characteristics associated with the condition. This case report describes the comprehensive speech, language, developmental, and auditory profile of an 8-year-old male child presenting with phenotypic features strongly suggestive of …
Published in International Journal of Pediatric Nursing · Vol. 12, Issue 1, 2026 · pp. 14–20 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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Advanced Classification of Diabetic Retinopathy Using GAN and Deep Residual CNN Model
Abstract: Diabetic retinopathy (DR) is a leading cause of blindness worldwide, impacting the largest number of individuals who have diabetes. Early identification of diabetic retinopathy may help to prevent severe effects; however, the very limited availability of labeled datasets, and the possibility of overfitting of the model, presents obstacles to obtaining an accurate diagnosis. In this research, a hybrid deep learning strategy is introduced, where Generative Adversarial Networks (GANs) are used …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 8–16 Read article
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A Novel Method of Rice Disease Detection Based on Deep Learning
Abstract: India's main food crop is rice. Agriculture accounts for 70% of the Indian economy, yet pests and illnesses cause 37% of the production of rice to be lost. The early detection of rice diseases will prevent huge economic loss for the farmer and the proper care can assist farmers to protect their rice crops from various crop diseases. Manual illness diagnosis is a time-consuming and complex technique. Deep learning techniques …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 10–17 Read article
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Classification and Detection of Cabbage Leaf Diseases from Images Using Deep Learning Methods
Abstract: The presented work uses Deep learning methods to detect diseases in cabbage leaves. To avoid a reduction in agricultural product yield, disease diagnosis in plants is crucial. Manual plant disease monitoring is challenging and time-consuming at every stage. Five major types of diseases are considered. Initially, the input images are classified as healthy and diseased. Further, the diseased images are classified into five different varieties. Early and precise biotic stress …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 23–32 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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Understanding Depression in the Elderly : Challenges and Solutions
Abstract: Depression among the elderly is a major and frequently overlooked mental health issue that impacts millions of older adults around the globe. The prevalence of depression increases with age, and it can have a profound impact on the quality of life, physical health, and overall well-being of older individuals. Depression in elderly people is frequently associated with various risk factors, including chronic illness, social isolation, loss of loved ones, and …
Published in International Journal of Geriatric Nursing · Vol. 8, Issue 1, 2025 Read article
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A Comprehensive Review of ARDS: From Pathogenesis to Innovative Treatment Modalities
Abstract: Acute Respiratory Distress Syndrome (ARDS) is a serious medical condition marked by significant low oxygen levels in the blood, bilateral lung infiltrates, and extensive lung inflammation. It is often caused by a range of direct or indirect injuries to the lungs. Despite considerable advances in understanding the pathophysiology of ARDS, its complex and multifactorial nature continues to challenge clinicians in both diagnosis and management. This review provides a comprehensive analysis …
Published in International Journal of Nursing Critical Care · Vol. 11, Issue 1, 2025 Read article
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Comparison Analysis of Lumpy Skin Disease Detection System Using X-Ray Images of Animals with the Help of Deep Learning
Abstract: Lumpy Skin Disease (LSD), caused by the Capripoxvirus, is a highly contagious viral infection impacting cattle and other livestock, resulting in significant economic losses due to decreased productivity and mortality. Early detection is critical to mitigate its spread and reduce its impact on agriculture and dairy sectors. This study investigates the efficacy of deep learning methodologies for detecting LSD through X-ray images, offering a non-invasive diagnostic approach to identify internal …
Published in International Journal of Animal Biotechnology and Applications · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article