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51 articles for “early detection”
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Development of Nano-enabled Biosensors for Early Detection of Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) represent a significant global health burden, necessitating early and accurate detection for timely intervention and improved patient outcomes. This article explores the development of nano-enabled biosensors as a promising approach for the early detection of CVDs. It provides a comprehensive overview of the field, including a literature review, fundamental principles, design considerations, and recent advancements.The article delves into the roles and clinical applications of various cardiovascular disease …
Published in International journal of Nanobiotechnology · Vol. 10, Issue 1, 2024 Read article
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Biofunctionalized Nanoparticles for Early Detection of Cervical Cancer in Rural North Indian Women
Abstract: Among the Indian women, cervical cancer is still the second most prevalent cancer and one of the leading causes of cancer death especially in the rural areas where screening and diagnostic facilities are not developed. This study assesses the feasibility, awareness, and acceptability on the use of biofunctionalized nanoparticles for early detection of cervical cancer in women from rural North India. Using a pre-tested structured questionnaire, a community-based cross-sectional survey …
Published in International Journal of Applied Nanotechnology · Vol. 11, Issue 2, 2025 Read article
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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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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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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 Study to assess the Knowledge regarding Breast Self-Examination among Adolescents’ Girls of Govt. Girls Hr. Secondary School, Bairagarh, Bhopal
Abstract: Introduction: Breast cancer is a significant health issue globally, with 1.3 million women diagnosed annually. In India, an estimated 80,000 new cases are diagnosed each year, with 1 in 22 women likely to develop breast cancer. Early detection through breast self-examination (BSE), mammography, and clinical breast exams is crucial. However, awareness is low, especially in rural areas. BSE is a valuable screening tool, allowing women to detect changes and abnormalities. …
Published in International journal of Nursing Science Practice and Research · Vol. 11, Issue 2, 2025 · pp. 1–12 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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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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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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Nanorobotics in Cancer Treatment: A Study
Abstract: Cancer, a complex and devastating disease, continues to plague humanity. There have been great advancements achieved in conventional treatments, such as chemotherapy and radiation; however, these treatments frequently come with serious adverse effects and limited efficacy against certain types of tumors. In the relentless pursuit of more targeted and effective therapies, nanorobotics has emerged as a promising frontier. This article explores the potential of nanorobots in revolutionizing cancer treatment, drawing …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 11, Issue 1, 2025 · pp. 44–52 Read article
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Advanced Diabetic Retinopathy Detection Using Deep Learning Classifiers
Abstract: Diabetic Retinopathy (DR) is an eye condition that arises from diabetes-related complications, making early detection essential for effective treatment. As diabetes advances, an individual’s vision may deteriorate, potentially resulting in diabetic retinopathy. This condition is divided into two primary types: Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR). Early treatment to maintain a strategic distance from a change less visual impedance is basic as it may save diabetic retinopathy …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 26–33 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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Assessing the Effectiveness of Planned Teaching Program on Knowledge and Skills Regarding Breast Self-Examination Among Nursing Students in Selected School of Nursing, Delhi
Abstract: Introduction: Breast self-examination is a vital screening method for early detection of breast disorders. Effective treatment and higher survival rates depend on early discovery. Breast self-examination is an easy, non-invasive, and affordable way for women to identify problems in their breasts and quickly seek medical assistance. The goal is to compare the results of the pretest and post-test knowledge and skills scores to evaluate the efficacy of the planned teaching …
Published in International Journal of Nursing Critical Care · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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AI-Based Image Detection of Rice Crop Diseases Using Deep Learning and Grad-CAM
Abstract: The Indian economy relies heavily on agriculture, and rice is one of the most significant staple crops grown in the country. Nevertheless, rice cultivation faces numerous challenges due to several leaf diseases, such as bacterial leaf blight, brown spot, and leaf smut. These diseases can lead to substantial yield losses and financial burdens for farmers. Therefore, the early detection and classification of these diseases are essential to minimize crop damage …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 Read article
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IoT-Based Real-Time Beam Deflection Monitoring for Structural Integrity
Abstract: Abstract Structural health monitoring is essential to ensure the safety of civil engineering constructions. Conventional laser-based methods of deflection measurement are expensive and invasive, especially for historical buildings and hostile environments such as mines and caves. This project aims to design a low-cost, non-invasive IoT-based system using strain gauges to monitor beam deflection in real-time, providing early warning for any potential structural damage. The system is based on using strain …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 1, 2026 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
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AI-Driven Predictive Maintenance in Smart Homes: Enhancing Efficiency and Reliability
Abstract: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has transformed smart homes into intelligent, self-regulating environments. Despite these advancements, ensuring the long-term reliability and efficiency of interconnected devices remains a complex challenge due to device heterogeneity, dynamic usage patterns, and continuous data streams. This study investigates AI-driven predictive maintenance (PdM) as a proactive strategy for detecting early signs of equipment degradation in residential settings. The proposed …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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DEVELOPING A DRIVER DROWSINESS DETECTION SYSTEM (DDDS)
Abstract: Driver drowsiness accounts for over 18% of all traffic accidents in India, making it a major contributing factor. This study proposes a real-time, edge-based Driver Drowsiness Detection System (DDDS) that detects early fatigue signs and alerts drivers prior to accidents. The system employs a multimodal, bimodule strategy. In order to track face traits such eye closure, blink rate, yawning, head position, and gaze direction, the first module uses computer vision. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 2, 2026 Read article
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A Study to Assess Common Respiratory Problems Among Senior Citizens
Abstract: Respiratory problems are a major health concern among senior citizens due to age-related physiological changes, reduced immunity, and increased exposure to environmental and lifestyle risk factors. This study aims to assess the common respiratory problems among older adults and identify associated contributing factors. A descriptive research design was adopted, and data were collected from senior citizens using a structured assessment tool. The study focused on identifying prevalent respiratory conditions such …
Published in International Journal of Geriatric Nursing · Vol. 9, Issue 1, 2026 · pp. 59–63 Read article
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Knowledge Enhancement on Scrub Typhus Through Planned Teaching: A Study Among UrbanAdults in Puducherry
Abstract: Background: Scrub typhus is a re‑emerging zoonotic infection in India, often misdiagnosed due to nonspecific symptoms. Awareness among adults is crucial for early detection and prevention. Objective: To assess baseline knowledge of scrub typhus among adults, evaluate the effectiveness of a planned teaching programme, and examine associations with demographic variables. Methods: A one‑group pre‑test and post‑test design was used. Fifty adults from Muthialpet, Puducherry were selected by convenience sampling. Knowledge …
Published in International Journal of Immunological Nursing · Vol. 12, Issue 1, 2026 · pp. 27–30 Read article