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177 articles for “Early Intervention”
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Digital Psychiatry: A Narrative Review on AI Positive Role in Mental Health
Abstract: Artificial Intelligence has rapidly evolved into a formidable instrument within the domain of mental healthcare, fundamentally altering the way we understand awareness, diagnosis, intervention and emotional regulation. This narrative review explores AI’s potential to foster positive mental health through tools such as natural language processing, machine learning, deep learning and computer vision. These technologies promise earlier detection of mental disorders, customized treatment plans and responsive emotional support. Yet, alongside these …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 1–13 Read article
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A Decade of Viral Evolution (2015–2025): Emergence, Mutations, and Implications for Global Health
Abstract: Over the past decade (2015-2025), viral evolution has profoundly reshaped the global health landscape, challenging healthcare systems, diagnostic tools, therapeutic strategies, and vaccine efficacy. This review comprehensively analyzes the evolutionary trajectories of major human and zoonotic viruses, with a focus on pandemic-prone, drug-resistant, and emerging pathogens. Viral evolution is driven by diverse molecular mechanisms including high mutation rates, recombination, reassortment, host immune pressure, and antiviral interventions, leading to genetic diversification, …
Published in International Journal of Vaccines · Vol. 2, Issue 2, 2025 · pp. 31–40 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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The Role of Artificial Intelligence in Mental Health: Applications in Neurodegenerative Disorders
Abstract: Artificial intelligence (AI) has significantly changed many aspects of medical care, particularly the early evaluation, therapy, and management of neurodegenerative illnesses like Alzheimer's, disease, Parkinson's diseases, and Huntington's diseases. The current research explores the application of AI in mental health with respect to neurological disorders, especially advancements in cognitive examination, neuroimaging analysis, predictive modeling, and customized therapy modalities. Artificial intelligence (AI) systems have shown enormous potential in detecting minute biomarkers …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 34–40 Read article
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Towards smart cancer care - AI enhanced monitoring and intervention
Abstract: According to estimates from the World Health Organization (WHO) for 2022, cancer is one of the leading causes of mortality, accounting for roughly 16% of all deaths globally. The goal of the cancer community is to improve the lives of those who are impacted by cancer and to cut the cancer death rate in half during the next several years. If cancer is identified early and treated, its impact on …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 1, 2025 · pp. 38–44 Read article
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Alzheimer’s Disease Detection Using ML Algorithm
Abstract: A degenerative neurological state of affairs, Alzheimer's disease (AD) gradually impairs cognitive and functional capacities, especially in people over 65. Early AD detection is crucial for efficient management and treatment prep. This study delves into novel approaches for the early detection of AD using non-invasive methods. We've implemented a blend of neuroimaging data analysis and machine learning algorithms to pinpoint markers indicative of the disease during its initial phases. Our …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 53–57 Read article
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Managing Carpal Tunnel Syndrome: Insights into Symptoms and Relief
Abstract: Carpal tunnel syndrome (CTS) is a prevalent and concerning issue affecting the wrist and hand, arising from the compression of the median nerve within the carpal tunnel. This compression results in a spectrum of distressing symptoms, including numbness, tingling, weakness, and discomfort, particularly in the thumb, index, and middle fingers. Despite its frequent association with repetitive hand movements and prolonged use of computers or handheld devices, CTS can stem from …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 1, Issue 2, 2023 · pp. 6–12 Read article
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Predictive Maintenance Strategies for Safety-critical Mechanical Systems
Abstract: Ensuring the reliability and safety of industrial systems is essential, especially in high-risk sectors such as aerospace, manufacturing, and energy. Predictive maintenance (PdM) has become a crucial approach for minimizing operational failures and improving maintenance efficiency. This research introduces an advanced PdM framework that enhances industrial safety by integrating Internet of Things (IoT) technology, machine learning (ML), and big data analytics. By enabling real-time monitoring and predictive fault detection, this …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 12–17 Read article
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A Split and Merge UNet: A Deep Learning Assisted UNet Model to Segment Corpus Callosum of Brain for Automatic Autism Detection
Abstract: In recent years, deep learning techniques have shown remarkable performance in various image analysis applications, particularly in the domain of medical image processing. Among these, image segmentation plays a critical role, as it helps in isolating and analyzing specific regions within medical images. The proposed study focuses on segmenting the corpus callosum, a vital structure in the human brain, using a novel optimization technique known as the Split and Merge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Retained Placenta in Dairy Cows: Causes, Consequences and Effective Strategies for Sustainable Dairy Development
Abstract: Retained placenta (RP) is a common reproductive disorder in dairy cows that poses a significant threat to reproductive efficiency, milk yield, and overall herd productivity. The condition, characterized by the failure to expel fetal membranes within 24 hours post-calving, results from a complex interplay of metabolic, endocrine, nutritional, and management-related factors. Key causative agents include dystocia, twin births, premature calving, mineral imbalances, oxidative stress, immune suppression, and hormonal disruptions, particularly …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 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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Understanding Tennis Elbow: Causes, Symptoms, and Available Treatments
Abstract: Tennis Elbow, clinically termed lateral epicondylitis, stands as a prevalent musculoskeletal ailment affecting the outer part of the elbow. Despite its name, this condition isn't exclusive to tennis players; it often arises due to repetitive stress or overuse of the forearm muscles and tendons, leading to micro-tears and inflammation at the elbow's lateral epicondyle. The abstract focuses on elucidating the multifaceted aspects of Tennis Elbow, exploring its causes, symptoms, and …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 1, Issue 2, 2023 · pp. 1–5 Read article
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A Study to Assess the Effectiveness of Self-Instructional Module Regarding Common Psychological Problems of Postpartum Psychosis and Its Management Among Trained Staff Nurses of Netaji Subhash Chandra Bose Medical College, Jabalpur
Abstract: A quasi-experimental study employing a one-group pretest and posttest design was undertaken to evaluate the impact of a self-instructional module on staff nurses’ knowledge of postpartum psychosis and its management. The research was conducted at Netaji Subhash Chandra Bose Medical College Hospital and included 60 trained staff nurses selected through a non-probability convenience sampling technique. Data were collected through a structured questionnaire designed to assess knowledge levels. The reliability of …
Published in International Journal of Women's Health Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 24–28 Read article
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IoT-based Heart Attack Prediction System Using Machine Learning
Abstract: Heart disease, particularly heart attacks, is one of the leading causes of mortality worldwide. Timely detection and prompt intervention play a vital role in significantly improving the survival rates of individuals at risk of cardiac events. Unfortunately, most traditional healthcare systems are not equipped with mechanisms for continuous, real-time monitoring of patients' cardiovascular health. This limitation makes it extremely difficult for healthcare providers to identify warning signs early enough to …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 2, 2025 · pp. 1–5 Read article
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AI-Driven Psychological Profiling on Social Media: Mechanisms, Ethical Breaches, and Regulatory Challenges in Data Inference
Abstract: This literature review examines AI-driven psychological profiling on social media, analyzing 21 academic studies that focus on machine learning techniques such as supervised learning, deep neural networks, sentiment analysis, and natural language processing. These methodologies infer mental health indicators—such as depression, anxiety, and stress—from users' digital footprints, encompassing linguistic patterns, engagement metrics, and temporal behaviors. While these tools offer potential for early detection of psychological distress, they also raise significant …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 1–7 Read article
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To Rule Out the Efficacy of Haridradi Drugs in Respiratory Allergic Disorders in the Childrens.
Abstract: Allergic diseases in children have increased significantly in recent years and they are a major cause of morbidity in the children. Although there is a genetic predisposition, exposure to allergens i.e pollens, irritants, infections, diets and inhalant will determine the sensitization. At present, the best approach to the children who are at high risk for the development of allergies is to introduce environmental and dietary control and adopt early measures …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2024 · pp. 53–60 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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Genomic Characterization of Emerging Arboviruses in Rural India
Abstract: Arboviruses (arthropod-borne viruses) represent a rapidly evolving group of pathogens responsible for significant morbidity and mortality, particularly in tropical and subtropical regions. Rural India, characterized by dense vector populations, changing ecological patterns, and limited healthcare infrastructure, has become a hotspot for the emergence and re-emergence of arboviral diseases such as dengue, chikungunya, Japanese encephalitis, and more recently, Zika virus infections. Advances in genomic technologies, including next-generation sequencing (NGS), metagenomics, and …
Published in International Journal of Pathogens · Vol. 3, Issue 2, 2026 · pp. 1–8 Read article
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Cutting-edge Deep Learning Methods for Predicting and Detecting Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) remain a major global health issue, highlighting the need for improved early detection and risk assessment methods. This research investigates the efficacy of both deep learning and traditional machine learning methods in forecasting cardiovascular diseases (CVDs). We evaluate a variety of models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Multilayer Perceptrons (MLPs), Long Short-Term Memory (LSTM) networks, as well as Logistic Regression (LR), Decision Trees …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 36–42 Read article
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Big Data Analytics in Healthcare: Revolutionizing Patient Care with IoT
Abstract: Patient care is undergoing a transformation thanks to the Internet of Things (IoT) and Big Data Analytics, which are enabling more accurate, proactive, and customized medical interventions. This paper explores how the integration of IoT devices with advanced data analytics can transform healthcare delivery. By collecting and analyzing vast amounts of real-time data from wearable devices, remote monitoring systems, and smart medical equipment, healthcare providers can gain valuable insights into …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 2, 2024 Read article