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220 articles for “disease risk”
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Review on Machine Learning Techniques for Heart Failure Analysis in Health Industries
Abstract: There are few bodily components as crucial as the heart. It aids in the filtration and distribution of blood to every area of a body. The world's biggest cause of death is heart disease. It has been reported that symptoms include breathing difficulties, fast heartbeat, and chest discomfort. They analyze this data on a regular basis. This review begins with a brief introduction of cardiac disease and the present methods …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 29–43 Read article
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A Systematic Review on Coronary Heart Disease: A Transient Ischemic Stroke
Abstract: Coronary Heart Disease (CHD) and Transient Ischemic Attack (TIA) are significant cardiovascular and cerebrovascular disorders that often share similar risk factors and underlying pathophysiological processes. CHD involves the narrowing or obstruction of the coronary arteries due to atherosclerosis, resulting in diminished blood flow to the heart. A transient ischemic attack (TIA), often called a "mini stroke," occurs when blood flow to the brain is briefly disrupted, usually due to a …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 3, 2025 Read article
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The Impact of Climate Change on Animal Health and Veterinary Practices
Abstract: Climate change poses significant challenges to animal health, altering disease dynamics, impacting livestock productivity, and threatening wildlife populations. Rising global temperatures, changing precipitation patterns, and increased frequency of extreme weather events have direct and indirect effects on both domestic animals and wildlife. Heat stress in livestock, for instance, reduces productivity, fertility, and overall well-being. Water scarcity, malnutrition, and changing ecosystems also compromise the health of animals, making them more susceptible …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 13, Issue 3, 2024 · pp. 26–30 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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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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Leveraging AI and Machine Learning for Early Prediction and Prevention of Non- Communicable Diseases in Resource-Limited Settings
Abstract: Populations in these regions face persistent structural barriers, such as underdeveloped healthcare infrastructure, shortages of trained health professionals, and fragmented or incomplete health information systems. These limitations delay timely diagnosis, restrict access to preventive care, and compromise effective disease management. In recent years, rapid progress in artificial intelligence (AI) and machine learning (ML) has opened promising avenues to mitigate these challenges. Practical applications already emerging include mobile health platforms for …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 9–15 Read article
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Comparative Efficacy of Hybrid Capture 2 and Real-Time PCR in Detecting High-Risk HPV Genotypes for Cervical Cancer Screening
Abstract: Human papillomavirus (HPV) infection is a leading cause of cervical cancer, making early detection critical for effective prevention and treatment. Among the diagnostic methods available, Hybrid Capture 2 (HC2) and Real-Time Polymerase Chain Reaction (PCR) are widely used for detecting high-risk HPV genotypes, particularly HPV 16 and 18, which account for the majority of cervical cancer cases. This review aims to compare the efficacy of HC2 and Real-Time PCR in …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 2, 2024 · pp. 13–17 Read article
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PCOD and Ayurveda: Steering the Ailment Through Lifestyle Interventions
Abstract: Ayurveda is the science of life having myriad of means to attain a long and healthy life. The individualistic and holistic approaches of Ayurveda pose better ways to a healthier living. In the age of physical, mental, and environmental stressors, it’s important to make your health a priority. While arranging for the monetary wealth, whilst disregarding the health, lands to a disarrayed state of health. Numerous diseases spring about because …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 3, 2024 · pp. 20–25 Read article
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A Comprehensive Review of Machine Learning and Explainable AI Techniques for Disease Prediction Systems
Abstract: Large amounts of diverse medical data have been produced because of the quick development of digital healthcare systems, offering substantial chances to use machine learning methods for clinical decision support and illness prediction. By identifying intricate patterns in clinical data, machine learning-based models have shown great promise in early disease detection, risk assessment, and personalised healthcare. However, issues with transparency, interpretability, and reliability have been brought up by the growing …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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Study of Lipid Profile and Its Correlation with Coronary Angiogram Finding in a Tertiary Care Hospital in an Urban Setting
Abstract: Coronary artery disease (CAD) is a major global health concern caused by the constriction or blockage of the coronary arteries, which can result in serious cardiovascular events. This study looks at the relationship between lipid profiles and the severity of CAD as measured by coronary angiography in patients in a tertiary care hospital. The study focuses on dyslipidemia as a major risk factor for CAD, emphasizing the importance of efficient …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 106–118 Read article
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Digital Health Interventions in Cardiovascular Pharmacology: A Review
Abstract: Cardiovascular diseases (CVDs) represent a formidable global health challenge, demanding innovative strategies for timely detection, effective management, and continuous monitoring. This study delves into the transformative potential of digital health interventions (DHIs), such as telemedicine and remote monitoring, in reshaping cardiovascular care paradigms. DHIs offer unparalleled accessibility, convenience, and personalized attention, thereby promising to revolutionize traditional approaches to cardiovascular health management. One of the foremost advantages of DHIs lies in …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 2, 2024 · pp. 1–5 Read article
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A summary continuation analysis evaluating the prevalence and predictors of diabetic retinopathy in newly diagnosed type 2 diabetic patients.
Abstract: Context: Diabetic retinopathy (DR), the leading cause of acquired blindness in adults, affects approximately 93 million people globally. It is a serious complication of type 2 diabetes, resulting from prolonged damage to the blood vessels in the retina. Although largely preventable and treatable, DR continues to be the main cause of vision loss among working-age adults and significantly impacts quality of life. While most studies on DR in Nepal have …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 21–30 Read article
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Nutraceutics: Opening the Debate for a Framework for the Safety and Efficacy of Nutraceuticals Formulations
Abstract: As of right now, there is no precise definition for nutraceuticals that distinguishes them from other food-based categories such herbal products, dietary supplements, pre- and probiotics, functional foods, and fortified foods. Several studies have shed light on the possible mechanisms of action of pharmaceutically active ingredients in food, emphasizing their ability to improve health, lower the risk of disease, and promote general wellbeing. However, Nutraceuticals confront difficulties in substantiating safety …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 1, 2024 · pp. 27–33 Read article
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Green Pastures, Healthy Herd: The Intricate Interplay of Nutrition, Milk Yield, Reproduction, and Welfare in Dairy Cows
Abstract: The study explores the intricate interplay between green pastures, nutrition, milk yield, reproduction, and welfare in dairy cows, emphasizing the multifaceted benefits of pasture-based systems. Green grass serves as a natural, nutrient-rich feed source that supports optimal dairy cow performance by providing essential nutrients such as energy, proteins, vitamins, and minerals, which are crucial for high milk production. The natural grazing behavior associated with green pastures enhances rumen function, facilitating …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 2, 2025 · pp. 51–66 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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A Study on Clinical Characteristics and The Impact Of Covid-19 In Hemodialysis Patients
Abstract: Background: The Corona Viruses Disease-19 pandemic has severely impacted Hemodialysis patients, who are vulnerable due to compromised immune systems and underlying comorbidities. Frequent Dialysis center visits increase their exposure risk to severe acute respiratory syndrome- Coronavirus Disease, and chronic inflammation, uremia, and immunosenescence may impair their immune response. Methods: This retrospective study included 60 Hemodialysis patients diagnosed with COVID-19 between January -July 2024. Data on demographics, clinical characteristics, laboratory results …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article
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Predicting and Prohibiting the Risk of Heart Failure Using Machine Learning
Abstract: It is challenging to estimate the likelihood of complex chronic disease while treating conditions like heart failure. The application of machine learning, an area of artificial intelligence, in cardiovascular care is growing quickly. In essence, it defines how computers classify and understand data, or choose a task with or without human intervention. The theoretical underpinnings of machine learning are models that accept input data (such as images or text) and …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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Post Pandemic Cardiac Prediction: Analysing Heart Attack Mortality Rate In Vaccinated Adults
Abstract: Heart disease has emerged as a prominent contributor to global mortality rates. Discovered it early and providing timely management can significantly reduce the incidence of heart failures, death rates, and diagnostic costs associated with heart disease. In this study, we propose employing notification system to assess the risk of heart disease and explore potential associations between vaccination status and mortality rates due to heart attack among adult populations in the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 45–51 Read article
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A Comparative Study of Lipid Profile in Pre-Dialysis and Post-Dialysis End-Stage Renal Disease Patients
Abstract: Background: Chronic kidney disease (CKD) represents a major public health concern in India, with its prevalence increasing at an alarming rate. Individuals with CKD are at a substantially higher risk of developing cardiovascular disease (CVD), which remains the leading cause of mortality in this population. Dyslipidemia is particularly pronounced among patients with end-stage renal disease (ESRD); however, limited data are available regarding the impact of hemodialysis on lipid profile alterations. …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 1, 2026 · pp. 25–31 Read article
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Disease: A Major Stumbling Block in the Growth of Aquaculture
Abstract: Aquaculture plays a crucial role in ensuring food security, fostering economic development, and providing recreational opportunities worldwide. However, the intensification of aquaculture practices has led to a surge in environmental challenges, including water pollution, soil acidification, eutrophication, chemical contamination, and the spread of diseases. Among these, diseases caused by bacteria, viruses, fungi, and parasites pose significant threats to the sustainability of global aquaculture. Despite the implementation of various diagnostic methods …
Published in International Journal of Marine Life · Vol. 1, Issue 1, 2024 · pp. 25–28 Read article