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1068 articles for “disease”
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Plant Disease Detection Using Machine Learning
Abstract: Plant diseases significantly threaten global crop yields and affect both nutritional safety and farmer income. Accurate and early detection of plant diseases is essential for effective intervention and treatment. In this study, we used the CNN model (convolutional neural network) to explore a deep learning-based approach for plant disease classification. The model was trained and evaluated on a large dataset encompassing 38 different classes of plant disease, including healthy leaves. …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 2, 2025 · pp. 07–19 Read article
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Enhanced Multimodal Disease Prediction Using Hybrid Ensemble Learning and AutoML Techniques
Abstract: The integration of hybrid ensemble learning and automated machine learning (AutoML) is revolutionizing disease prediction by addressing the complexity, imbalance, and high dimensionality inherent in medical datasets. This paper proposes an advanced pipeline that combines diverse ensemble learning models with AutoML-based optimization to predict chronic diseases such as kidney diseas-e, Parkinson’s disease, and lung cancer. Publicly available datasets from UCI and PhysioNet repositories were preprocessed using outlier removal, normalization, and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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Clinical metabolomics: Useful insights, perspectives, and challenges.
Abstract: Metabolomics provides a comprehensive snapshot of smallmolecule intermediates and end products of cellular processes and thereby links genotype, environment, and phenotype in human disease . Over the last decade, advances in liquid chromatography–mass spectrometry (LC–MS) and nuclear magnetic resonance (NMR) spectroscopy have enabled high-throughput profiling of thousands of metabolites from microliter volumes of clinical samples . Clinical metabolomics is now emerging as a tool for disease diagnosis, risk prediction, therapeutic …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 1, 2026 · pp. 29–37 Read article
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Synthesis and Evaluation of New Coumarin Derivatives for Inflammatory Bowel Disease Against DSS-Induced Acute Ulcerative Colitis Mice Model
Abstract: Objective: The discovery of the now numerous mouse models of intestinal inflammation has increased our understanding of the intestinal inflammation that occurs in inflammatory bowel disorders (IBD). This study aimed to investigate the use of a standardized animal model subjected to coumarin derivative treatment, and the action of synthesized molecule administration of dextran sodium sulphate (DSS)- induced colitis in experimental mice. Materials and Methods: We generated a variety of unique …
Published in Journal of Modern Chemistry & Chemical Technology Read article
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To Assessment of the Effectiveness of a Structured Educational Program on Women's Knowledge of Sexually Transmitted Diseases in Rural Areas of Ludhiana, Punjab: A Quasi-experimental Study
Abstract: Background: Maintaining good health is of immeasurable value, as it empowers individuals to lead socially and economically fruitful lives. However, various disorders have the potential to disrupt one's health. Among these, sexually transmitted diseases (STDs) are the most prevalent disorders affecting the reproductive system and other bodily systems, resulting in significant consequences for both families and society. Sexually transmitted diseases (STDs) can be triggered by various microorganisms, including bacteria (like …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 19–26 Read article
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A Pre-experimental Evaluation of a Structured Educational Program on Awareness of Mosquito-borne Diseases in Senior Secondary School Students in Punjab
Abstract: Introduction: Mosquitoes constitute the most important single family of insects from the standpoint of human health. They are found all over the world. The four important groups of mosquitoes in India that are related to disease transmission are the Anopheles, Culex, Aedes, and Mansonia. Aims: The aims of the study are to assess the effectiveness of structured teaching program on knowledge regarding mosquito-borne diseases among students of senior secondary schools …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 7–14 Read article
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The Impact of Climate Change on Infectious Diseases: Potential Risks and Mitigation Strategies
Abstract: As we confront the pressing challenge of climate change, it's vital to recognize its intertwined connection with infectious diseases. We must now navigate a future that combines strong public health interventions, environmental stewardship, and strong policy actions as we stand at the crossroads of crises. In an attempt to lessen the drastic effects of climate change on the dynamics of disease transmission, this study identifies potential risks and creative solutions. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 21–32 Read article
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Review of Ayurvedic Drugs on Acid-peptic Diseases Regarding Its Personalized Management
Abstract: Acid-peptic Disease (~Amlapitta) is an illness wide-spread all around the world. In Ayurveda, Vidahi (which cause burning) and Pitta (dosha responsible for metabolic activities) aggravating diet and stressful –sedentary life-style has been stated as one of the leading cause for acceleration of Amlapitta. Detailed reviewing of drugs given in Ayurvedic texts are done according to specific stage of disease, Amlapitta Dosha predominance, chronicity, associated conditions, dosage, Anupana etc. Screening the …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2024 · pp. 24–38 Read article
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Heart Disease AI-based Prediction: A Comparative Analysis
Abstract: The present investigation looks at how well various machine learning algorithms predict cardiac disease. Since heart disease is one of the major causes of death worldwide, early detection and precise diagnosis are essential for managing and treating the condition. Our goal is to enhance diagnostic processes and improve patient outcomes by leveraging machine learning techniques. Six widely-used machine learning algorithms are evaluated in this research paper. These algorithms were selected …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 21–29 Read article
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Metabolites in Modern Medicine: Decoding the Future of Health and Diseases
Abstract: The end products of many metabolic processes in cells are called metabolites. Each reaction contributes a specific metabolite. Metabolites act as fingerprints of on-going biological processes. Constant changes in cellular composition due to both environmental and internal factors. By analysing the types and presence of metabolites, scientists can effectively reconstruct the inner workings of a cell or organism. In the past, analysing metabolites was a slow and tedious process, often …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 2, 2024 · pp. 1–13 Read article
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Nano-Enhanced Biosensors: Bridging the Gap in Early Disease Detection and Diagnosis
Abstract: This article provides an in-depth examination of nano-enhanced biosensors, a groundbreaking technology that combines nanotechnology and biosensing techniques to transform disease detection and diagnosis. These advanced sensors boast exceptional sensitivity, specificity, and rapid response times, enabling early detection and treatment of various medical conditions. The article covers the fundamental principles, current applications, and prospects of nano-enhanced biosensors in multiple medical domains, including recent research, experimental investigations, and case studies. It …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 2, 2024 · pp. 10–17 Read article
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Flavonoids: An Answer to Chronic Diseases
Abstract: It has been shown that inflammation is closely associated with the onset or exacerbation of quite a few non-communicable human diseases. Several chronic diseases, such as cancer, diabetes, cardiovascular dysfunction and central nervous system damage are also developed following tissue injury produced by the high fragments of low-grade inflammation surrounding a compromised tissue or organ due to its acquired genomic changes. Current therapies for many of these diseases are associated …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 1, 2024 · pp. 31–37 Read article
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Development of a Polymeric Detection System for Salivary Annexin-1: A Potential Tool for Point-of-Care Diagnostics in Periodontal Disease
Abstract: Salivary annexin-1, a protein with anti-inflammatory properties, has emerged as a potential biomarker for periodontal disease. However, current detection methods, like ELISA, are often complex and require laboratory settings. This study explores the development of a novel polymeric detection system for the rapid and sensitive identification of salivary annexin-1. This system could leverage the unique properties of polymers to create a point-of-care diagnostic tool for: (1) early detection and monitoring …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 101–110 Read article
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Multiple Disease Prediction Using Machine Learning Algorithms
Abstract: The incorporation of machine learning algorithms into healthcare has transformed disease prediction and diagnosis. This research introduces a method for predicting various diseases using machine learning techniques. A comprehensive dataset, consisting of patient records, medical histories, and key disease-related features, was utilized to build predictive models. Data preprocessing methods, including feature selection and normalization, were implemented to clean and prepare the dataset. Several machine learning algorithms, such as Decision Trees, …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 34–38 Read article
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Detection and Classification of Alzheimer’s Disease Using Deep Learning Technique
Abstract: It is crucial that people with Alzheimer's disease (AD) receive a proper diagnosis to begin preventative action before irreparable brain damage develops. Most people who suffer from Alzheimer's disease (AD), a neurological condition that progresses, are older than 65. The area of interest (ROI) in the hippocampus has been extensively studied for several purposes, including neurological illness research, stress development monitoring, and memory function analysis. Moreover, a connection between Alzheimer's …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 15–20 Read article
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Host-Microbiota Crosstalk in the Rumen: Signaling Pathways for Nutrient Metabolism and Disease Resilience in Dairy Cows
Abstract: The rumen serves as a highly intricate microbial ecosystem, fundamentally responsible for the degradation of fibrous plant materials in ruminant. The intricate host-microbiota crosstalk within the rumen significantly influences nutrient metabolism, growth, and health outcomes in livestock. The interaction between the host and its microbial community, mediated through signaling pathways including the production of short-chain fatty acids (SCFAs), bile acids, and various metabolites, is crucial for enhancing nutrient absorption, fermentation …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 1, 2025 · pp. 29–41 Read article
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Chronic Obstructive Pulmonary Disease (COPD) in Younger Adults: Challenges and Considerations – A Review
Abstract: Chronic Obstructive Pulmonary Disease (COPD) phenomenon rapidly converting into chronic significant health issues for many young adults. A disease calculated for older age gives way to early-onset COPD, which creates new issues for diagnosing and treating the illness and even interacts with the quality of life. The article reviews the epidemiology, risk factors, pathophysiology, clinical presentation, and treatment considerations related to this set of conditions. From those risk factors, early-onset …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 08–19 Read article
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Deep Learning-Based Alzheimer’s Disease Detection: A CNN Approach
Abstract: Alzheimer’s disease (AD) is a neurological condition that worsens with time and impairs a patient’s quality of life by causing cognitive loss. For prompt intervention and management of AD, early identification is essential. In this work, we propose a deep learning-based method for automatically classifying Alzheimer’s disease from medical imaging data using convolutional neural networks (CNNs). Our algorithm is intended to evaluate brain MRI images and detect anatomical variations suggestive …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 Read article
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Biological Membranes: Structure, Function, and Their Roles in Disease Pathophysiology
Abstract: Biological membranes are important structures that control cellular work, signal transmission, transport, and communication. Dysfunction of membranes has been considered in the development of many diseases, such as cancer, neurodegenerative diseases, and infections, with the distortion of lipid composition, protein activity, and cellular connections involved in the pathogenesis of the disease. The damage on membrane can be caused by oxidative stress, genetic mutation, and environmental influence to disrupt cellular homeostasis. …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 38–46 Read article
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Innovations in Gene Therapy: Revolutionizing Treatment for Genetic Disorders and Diseases
Abstract: Gene therapy is a revolutionary intervention in the treatment of genetic diseases since it is an intervention that aims at the very source of diseases, through editing and modification of genes. More recent innovations in gene editing systems, such as CRISPR-Cas9, CRISPR-Cas12, and prime editing, have greatly increased the accuracy and effectiveness of gene therapies, enabling more specific therapies. The opportunities of personalized medicine are also extended by the creation …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 Read article