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297 articles for “Disease Identification”
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Charting the Path Forward: An In-Depth Analysis of Breakthroughs and Hurdles in Artificial Intelligence
Abstract: Recent years have witnessed tremendous progress in artificial intelligence (AI), fueled by exponential increases in processing power and data accessibility. These developments have made it possible for AI to be widely used in a variety of industries, such as healthcare, finance, autonomous driving, and more. Significant difficulties are presented by the "black-box" nature of many AI systems, which lack transparency and the capacity to explain. By encouraging algorithms that can …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 13–23 Read article
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ML Analysis of Factors Affecting Vaccination in Rural Children: A Machine Learning Approach
Abstract: Vaccination remains one of the most effective public health interventions for preventing childhood diseases, yet rural regions in India continue to experience uneven immunization coverage due to multiple socioeconomic and geographic barriers. This research applies machine learning techniques to identify and analyze the major determinants influencing childhood vaccination uptake in rural communities. The study utilizes survey-based demographic, socioeconomic, and healthcare-related parameters to build predictive models that classify children as vaccinated …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 Read article
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A study on IoT and AI for Predictive Modeling and Control of Infectious Disease Transmission
Abstract: Background: The global response to novel and recurring infectious diseases is frequently hindered by surveillance systems that are slow, siloed, and reactive. Traditional epidemiology relies on retrospective analysis of clinical reports, often missing the critical early phase of autocatalytic spread. The urgency of modern public health necessitates a shift toward real-time, predictive intelligence. Methods: This study investigates the development and deployment of a synergistic paradigm integrating the Internet of Things …
Published in International Journal of Pathogens · Vol. 2, Issue 2, 2025 Read article
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Targeting TNFSF4 in the Management of Systemic Lupus Erythematosus
Abstract: Systemic lupus erythematosus (SLE) is a multifaceted autoimmune disorder that remains a significant challenge for both healthcare providers and researchers. Despite advances in understanding its mechanisms, finding effective therapies is still difficult. This review highlights a potential therapeutic target in SLE research: tumor necrosis factor superfamily member 4 (TNFSF4), also referred to as OX40L. We explore how TNFSF4 contributes to SLE development, looking at its role in immune system regulation …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 6–14 Read article
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Disease Prediction Using Ensemble Learning Models: A Comprehensive Approach
Abstract: In recent years, ensemble learning techniques have become pivotal in advancing predictive analytics within healthcare, particularly for early disease detection. The inherent variability and complexity of medical data, often characterized by high dimensionality, class imbalance, and noise, make it challenging for standalone classifiers to maintain high predictive accuracy. Ensemble learning, by integrating multiple models through bagging, boosting, or stacking, offers a more robust and generalizable approach. This study explores the …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 26–33 Read article
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Homeopathy and Miasms: Exploring Their Vital Importance
Abstract: An individual’s susceptibility to disease is not solely an internal matter but is also profoundly shaped by a variety of external influences. These influences can be broadly categorized into meteoric factors – such as climate, weather changes, seasonal variations, and atmospheric conditions – and telluric factors, which include environmental and terrestrial elements like soil, water, living conditions, and geographical surroundings. When such external influences act upon the human organism, they …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 3, 2025 · pp. 16–21 Read article
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Identification and Characterization of Genetic Predictors of Sickle Cell Anemia in Bilaspur District, Chhattisgarh, India
Abstract: In the present decades, sickle cell anemia (SCA) is a challenging task for control of hereditary syndrome in Bilaspur district of Chhattisgarh state, India. The present study aims to identify and characterize genetic predictors of SCA from Bilaspur district (CG) in 2024. A total of 3000+ individuals were screened and categorized into carriers, positive (screening), and diseased cases. Fetal hemoglobin (HbF) level is determined by several genetic factors including genetic …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 4, Issue 2, 2026 · pp. 1–9 Read article
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Advancements in Drug Design Technology and Its Impact on COVID-19 Treatment
Abstract: The deadly coronavirus disease 19 (COVID-19) pandemic has recently spread, raising concerns about global health. The search for novel therapeutic compounds is made more necessary by the persistent problem of the absence of licensed medications or vaccinations. By saving money and time, computer-aided drug design has sped up the process of finding and developing new drugs. The structured-based and ligand-based drug discovery subcategories of computer-aided drug design (CADD) are the …
Published in International Journal of Virus Studies · Vol. 1, Issue 1, 2024 · pp. 1–15 Read article
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Radiopharmaceuticals use as a nuclear medicine for a Treatment of Disease
Abstract: Radiopharmaceuticals are radioactive substances that contain a bonded radionuclide with the intention of directing the radionuclide to a specific place for treatment or imaging. Radiopharmaceuticals are employed in nuclear medicine for cancer therapy as well as other therapeutic and diagnostic applications. Therefore, the primary goal of this study is to identify the key metal complexes and radioactive elements utilized in radiopharmaceutical applications. The sodium and methylenediphosphonate (MDP-99mTc) complexes, along with …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 17–21 Read article
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A Hybrid Machine Learning Approach for Cardiovascular Disease Prediction
Abstract: Heart disease ranks among the top causes of death globally. Accurately predicting cardiovascular conditions has become a key challenge in the realm of clinical data analysis. It has been shown that machine learning is an effective means of assisting with predicting and decision-making based on the large volume of data produced by the medical industry. In this study, we describe a unique approach that increases the prediction accuracy of heart-related …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 69–75 Read article
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Vector-Borne Disease Risk Assessment Among Households: A Cross-Sectional Epidemiological Investigation
Abstract: The study was conducted to assess the risk of vector-borne diseases among households of the selected ward of Athirampuzha Panchayath, Kottayam. Objectives of the study were to assess the percentage of houses infested with larvae or pupae of mosquito (house index (HI): total number of positive houses/total houses × 100), to identify the percentage of water holding containers infested with larvae or pupae of mosquito (container index (CI): total number …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 15–18 Read article
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Advancing EEG Technology for Affordable and Effective Epilepsy Detection
Abstract: For a proper diagnosis and prompt treatment, epilepsy, a neurological condition marked by recurring seizures, needs to be continuously monitored. Manual interpretation is frequently used in traditional approaches for identifying epileptic seizures from electroencephalogram (EEG) signals, which can be laborious and error-prone. In this research, a novel method for automatically detecting epilepsy from EEG data using deep learning algorithms is presented. According to centers for disease control and prevention (CDC) …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 3, 2024 · pp. 11–18 Read article
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Trichoderma: beneficial fungus for sustainable agriculture
Abstract: As environmentally beneficial substitutes for chemical pesticides, Trichoderma species are being utilized in agriculture more and more. Disease suppression, increased plant growth, and increased tolerance to environmental stress are just a few advantages they provide. These fungi are used in a wide range of cropping systems and formulations around the world. Their use is growing worldwide, particularly in Asia and Europe. In contemporary crop management, items derived from Trichoderma are …
Published in International Journal of Fungi · Vol. 2, Issue 2, 2025 · pp. 25–29 Read article
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Molecular Docking of Arjuna Tree Phytocompounds for Ischemic Heart Disease
Abstract: Heart disease is a serious condition that can be caused by several lifestyle changes and sometimes genetic problems. The primary protein component of apolipoprotein is the LDL receptor, which indicates that a reduction in LDL levels can reduce the risk of ischemic heart disease. Apolipoprotein levels are associated with increased levels of ischemic heart disease. Using ADMET analysis, drug likelihood prediction, and molecular docking, this work attempted to find natural …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 1, 2025 · pp. 42–52 Read article
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A Review on Ethnomedicinal Claims of Gloriosa Superba Linn. (Langali).
Abstract: Aim: Gloriosa superba Linn., is a procumbent herbaceous climber and different parts of G. superba, have wide diversity of uses especially in traditional system of medicine among local healers. The goal of the current review is to gather information on research updates and claims pertaining to ethno medicine and folklore that is currently accessible. Material and Methods: Information and data regarding reported ethno medicinal uses and folklore claims of the …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 2, 2024 · pp. 14–23 Read article
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The Burden of Empirical Therapy: Analyzing the Predominance of Broad-Spectrum Antibiotic Usage in Lower Respiratory Tract Infections
Abstract: Lower respiratory tract infections (LRTIs) remain one of the leading causes of morbidity and hospitalization worldwide, particularly among older adults, immunocompromised individuals, and patients with chronic respiratory disorders. These infections include conditions such as community-acquired pneumonia, hospital-acquired pneumonia, bronchitis, and acute infective exacerbations of chronic lung disease, all of which often require rapid clinical intervention. Because microbiological confirmation of the causative pathogen frequently takes 48–72 hours, clinicians generally initiate empirical …
Published in International Journal of Antibiotics · Vol. 3, Issue 2, 2026 Read article
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Estimating Heavy Ion Concentrations in the Shatt AlKufa Area and Studying Methods for Recycling Wastewater
Abstract: This study includes practical methods for treating chemical pollution in wastewater. The proper disposal of wastewater is essential for providing a healthy environment for communities, adhering to international standards and utilizing the latest chemical and scientific methods to maintain a surrounding environment free from sewage pollutants. The goal of wastewater treatment is to prepare it for discharge into agricultural drains or for use in irrigation. Treatment removes a large percentage …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 1, 2026 · pp. 17–22 Read article
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A Study to Assess the Nutritional Status of Kidney Failure Patients Undergoing Maintenance Hemodialysis
Abstract: Malnutrition is a common and serious complication among patients with end-stage renal disease (ESRD) undergoing maintenance hemodialysis (MHD) and is strongly associated with increased morbidity and mortality. The present study was conducted to assess the nutritional status of patients on maintenance hemodialysis and to identify factors contributing to protein-energy malnutrition in this population. A cross-sectional and follow-up assessment was carried out among patients receiving regular hemodialysis at a dialysis center. …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 3, 2025 · pp. 82–94 Read article
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An Extensive Analysis of Computer-Aided Drug Design for Novel Psychotropic and Neurological Substances
Abstract: A comprehensive review of the use of computer-aided drug design (CADD) in the creation of innovative neurologic and neuropsychiatric medications is given in this article. It discusses the challenges in traditional drug discovery approaches and highlights the role of computational methods in accelerating the identification and optimization of drug candidates targeting psychiatric and neurological disorders. The method of finding new drugs has been completely transformed by Computer-Aided Drug Design (CADD), …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 19–27 Read article
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Review on Effect of the Chemical Composition of some Pharmaceutical Vaccines and their Biochemical Efficacy with Chemical Techniques
Abstract: Chemical compounds are fundamental components in the formulation of medicines and vaccines, playing a critical role in ensuring their safety, stability, and effectiveness. Vaccines contain a combination of active and inactive ingredients, including weakened or inactivated viruses or bacteria, toxins, preservatives, stabilizers, adjuvants, antibiotics, and minerals. The active ingredient is an antigen, which stimulates the body's immune system to recognize and defend against specific infectious diseases. Adjuvants, such as aluminum …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 01–09 Read article