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92 articles for “early detection”
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Awareness Regarding Cervical Cancer among Women Attending a Selected Hospital in Lucknow, Uttar Pradesh: A Cross-Sectional Study.
Abstract: Cervical cancer continues to be a significant health concern, particularly in low- and middle-income countries like India, where it remains a leading cause of cancer-related deaths among women. Despite the availability of preventive measures such as the Human Papillomavirus (HPV) vaccine and screening techniques like Pap smears, a considerable gap in awareness persists. Limited knowledge of cervical cancer, its risk factors, symptoms, and preventive strategies hampers the effectiveness of early …
Published in International Journal of Women's Health Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 19–24 Read article
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Role of Inflammatory Markers and Lipid Abnormalities in Glycemic Dysregulation Among Type 2 Diabetics
Abstract: Background: Diabetes mellitus (DM) is a chronic metabolic disorder characterized by systemic inflammation and associated with various complications in multiple organs. Type 2 diabetes mellitus (T2DM) specifically involves insulin resistance, hyperglycemia, and inflammatory responses. This study investigates the levels of various inflammatory markers and their correlation with glycaemic control in T2DM patients. Objective: To evaluate the levels of inflammatory markers (including NLR, PLR, SII, SIRI, CRP, IL-6, TNF-α, TGF-β, MCP-1, …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 2, 2025 Read article
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Chronic Kidney Disease: A Comprehensive Review
Abstract: Chronic Kidney Disease (CKD) is a progressive condition characterized by a long-term decline in kidney function, leading to a gradual deterioration of the kidneys' ability to filter waste and maintain fluid balance. It is diagnosed when the Glomerular Filtration Rate (GFR) falls below 60 ml/min/1.73 m² or when there is evidence of kidney damage (such as proteinuria) lasting for 3 months or more. The most common causes of CKD are …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 37–42 Read article
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Progression of Health and Wellness: Artificial Intelligence (AI) and Deep Learning (DL) for Precision Medicines
Abstract: Deep learning and artificial intelligence in the field of precision medicine is revolutionizing healthcare to make personalized therapeutic approaches desirable based on the unique characteristics of the patient. AI technologies improve diagnostic accuracy by analyzing medical data, spotting patterns and anomalies that human experts may miss. AI-driven models are instrumental in precision medicine, where they can predict patient response to therapies to tailor treatment plans, enhancing outcomes and reducing adverse …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 2, 2025 · pp. 1–5 Read article
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Scientific Trajectories in Indian Virology: Innovations, Institutions, and Impact
Abstract: India's substantial research on epidemiology, virology, and public health measures has helped the world understand viral infections better. This article gives an overview of virus research in India, starting with early studies on arboviruses and enteroviruses and going all the way up to current studies on new and re-emerging pathogens including SARS-CoV-2, Nipah, and Zika viruses. Over the decades, India has built a rich legacy in virus research through pioneering …
Published in International Journal of Vaccines · Vol. 2, Issue 2, 2025 · pp. 11–20 Read article
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A Review of Literature on Breast Cancer: Molecular Insights, Clinical Approaches, and Future Perspectives
Abstract: Breast cancer is the leading cause of morbidity and mortality in women globally. Although both men and women can get the condition, women are more likely to get it, and its prevalence has been rising globally in recent years. The epidemiology, risk factors, pathophysiology, diagnosis, treatment options, and survival rates of breast cancer are all examined in this review of recent research. Breast cancer can show up as a lump …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 15–20 Read article
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Artificial Intelligence in Entomology: Global Advances, Applications, and Future Directions in Insect Research and Pest Management
Abstract: Artificial Intelligence (AI) is transforming entomology by enabling scalable, data-driven approaches to insect identification, ecological monitoring, and sustainable pest management. This review synthesizes recent global advances in AI applications across taxonomy, behavioral ecology, predictive modeling, and precision agriculture. Machine learning and deep learning techniques—including convolutional neural networks, acoustic classification models, and ensemble predictive algorithms—have demonstrated high classification accuracies (often exceeding 90% under controlled conditions) and improved early detection of pest …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 29–40 Read article
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Impact of Vaccine Awareness Campaigns on Pharmacovigilance Reporting and Public Safety Monitoring
Abstract: Vaccination programs have significantly contributed to the reduction of infectious diseases worldwide; however, their success is closely tied to public confidence and robust safety monitoring systems. Pharmacovigilance plays a critical role in identifying, assessing, and preventing adverse events following immunization (AEFI). In recent years, vaccine awareness campaigns have emerged as a pivotal strategy to improve public knowledge, reduce vaccine hesitancy, and enhance reporting of adverse drug reactions (ADRs). This review …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 · pp. 1–14 Read article
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The Role of Artificial Intelligence and Machine Learning in Redefining Global Healthcare Systems and Advancing Medical Innovation
Abstract: Health Services are being revolutionized with AI and ML through improved accuracy, efficiency and accessibility in the delivery of health care. With AI and ML, it is now possible for health care professionals to assess varying amounts of complex clinical data in a relatively short amount of time, therefore, creating opportunities for early detection of disease, increasing the odds of accurate diagnosis, and improving the ability to make informed clinical …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 14–19 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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Passive Digital Phenotyping for Longitudinal Burnout and Occupational Mental Health Surveillance: A Transformer-Based Explainable Deep Learning Approach Using Smartphone Behavioral Streams
Abstract: Occupational burnout constitutes a pervasive yet chronically under-surveilled public health threat, its insidious temporal evolution rendering episodic self-report instruments structurally inadequate for early detection. This paper introduces BurnoutSense, a passive digital phenotyping framework that continuously harvests eight heterogeneous smartphone behavioral data streams encompassing application usage ecology, communication metadata, geospatial mobility, screen interaction dynamics, inferred sleep rhythmicity, keystroke kinematics, ambient noise exposure, and battery/charging cadence to construct individualized multivariate behavioral signatures …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 2, 2026 · pp. 44–53 Read article
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Automatic Flame Detection and Tracking
Abstract: Recent advancements in independent robotics, embedded systems, and intelligent perception have appreciably improved the capability of firefighting robots designed for early fire detection, flame localization, and suppression. A broad range of studies explores vision-based and sensor-fusion techniques designed for reliable flame discovery in complex environments. Image-processing approaches—including adaptive edge-detection, infrared/thermal imaging, color-space analysis, and profound learning—are extensively implement to enhance real-time fire gratitude, even in the presence of smoke or …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 6–12 Read article
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A Study to Assess the Awareness of the Breast Cancer Screening Among Teacher Training Students in Selected Teacher Training Institutions at Mysuru with the View to Conduct Educational Program
Abstract: Background: Cancer is one of the major causes of death both in developed and developing countries. Breast cancer is defined by the uncontrollable proliferation of cells within the breast, encompassing different forms of cancer that impact the breast tissue. The majority of breast cancer cases manifest as painless lumps, while a smaller percentage may exhibit additional symptoms. Breast cancer is amenable to almost complete care if detected in its early …
Published in International Journal of Oncological Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 17–31 Read article
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A Conceptual Framework for AI-Integrated Metabolomics in Predictive Health Systems for Resource-Constrained Environments
Abstract: The increasing prevalence of non-communicable diseases (NCDs) continues to place a significant strain on healthcare systems, particularly in low- and middle-income regions where access to early diagnostic infrastructure is limited. Conventional healthcare approaches remain largely reactive, often detecting diseases at advanced stages when treatment effectiveness is reduced. This challenge underscores the need for predictive, cost-effective, and data-driven healthcare solutions. This study presents a conceptual framework that integrates metabolomics with artificial …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 2, 2026 Read article
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Advanced Private Cloud Security and Privacy Preservation Through the Integration of Machine Learning and Cryptography
Abstract: In modern technological landscapes, private cloud security is of paramount concern due to the ever-increasing volume and complexity of cyber threats. This research work explores the integration of machine learning and cryptography to enhance security within private cloud environments. This study aims to mitigate vulnerabilities that may compromise data integrity, confidentiality, and availability in private cloud infrastructures by using machine learning algorithms and strong cryptography. By detecting anomalous cloud patterns …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
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A Study of Optical Sensor in Clinical applications
Abstract: The escalating demand for precise, real-time, and minimally invasive diagnostic and monitoring tools in clinical practice has propelled the development of sophisticated sensor technologies. Among these, optical sensors have emerged as a cornerstone, leveraging the interaction of light with biological matter to translate molecular or cellular events into quantifiable signals. Their inherent advantages – including high sensitivity, specificity, rapid response times, non-ionizing nature, and potential for miniaturization – make them …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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AI Driven IoT Based Decision Making System for Brain wave study: KSK approach for Brain wave study
Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain-computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Role of Solid-State Materials in Development of devices for Internet of Medical Things
Abstract: The Internet of Medical Things (IoMT) represents a transformative paradigm in healthcare delivery, integrating connected medical devices, sensors, and wearable technologies to enable real-time patient monitoring and personalized treatment. Solid-state materials form the foundational infrastructure of IoMT systems, encompassing semiconductors, energy storage materials, sensing materials, and flexible electronics. This article explores the critical role of advanced solid-state materials in enabling miniaturization, energy efficiency, biocompatibility, and enhanced sensing capabilities essential for …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 11–18 Read article
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Common Diseases of Silkworm and Their Management – A Comprehensive Overview
Abstract: Silkworms (Bombyxmori L.), pivotal to the sericulture industry, are susceptible to various diseases that significantly impact cocoon production and quality. Common silkworm diseases include viral, bacterial, fungal, and protozoan infections. Prominent viral diseases, such as nuclear polyhedrosis (NPV) and cytoplasmic polyhedrosis (CPV) often cause mass mortality in larvae. Bacterial diseases, like flacherie, are typically induced by poor hygiene and environmental stress. Fungal infections, including muscardine caused by Beauveria bassiana, proliferate …
Published in International Journal of Insects · Vol. 2, Issue 1, 2025 · pp. 22–28 Read article
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Zika Virus: Long-term Effects and Vaccine Development Efforts
Abstract: Zika virus (ZIKV) is a mosquito-borne flavivirus that gained international concern following the 2015-2016 outbreak in the Americas. Although most ZIKV infections are asymptomatic or mild, the virus presents significant public health risks due to its ability to cause severe neurological complications, especially in pregnant women and their offspring.Congenital Zika Syndrome (CZS) encompasses a range of fetal abnormalities, including microcephaly, vision impairment, hearing loss, and developmental delays. Infants exposed to …
Published in International Journal of Virus Studies · Vol. 2, Issue 1, 2025 · pp. 25–28 Read article