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1068 articles for “diseases”
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SGLT2 Inhibitors in Heart Failure and Chronic Kidney Disease: Expanding Therapeutic Horizons beyond Glycemic Control
Abstract: Heart failure (HF) and chronic kidney disease (CKD) are closely related clinical diseases that significantly increase morbidity and death worldwide. The co-occurrence of both conditions is frequently referred to as the "cardio-renal syndrome," in which the failure of one organ hastens the decline of the other. The original purpose of sodium–glucose cotransporter-2 (SGLT2) inhibitors was to treat type 2 diabetic mellitus (T2DM) by reducing blood sugar levels. Nevertheless, new data …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 Read article
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Recombinant Proteins and Nested Gene Regulation: Nutrient Driven Immune Response and Disease Resistance in Livestock
Abstract: Livestock production systems are increasingly challenged by infectious diseases, metabolic disorders, and environmental stressors that reduce productivity and compromise animal health. Advances in molecular biology and animal nutrition now offer new opportunities to strengthen disease resistance through integrated strategies that combine recombinant protein technologies, gene regulatory mechanisms, and nutrient mediated immune modulation. This review examines how recombinant proteins and nested gene regulation interact to shape nutrient driven immune responses in …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 Read article
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A Lightweight Cost-Sensitive Explainable Ensemble Framework for Early Heart Disease Risk Prediction
Abstract: Cardiovascular disease is still one of the leading causes of death, and hence, the early prediction of risk is a very important task in preventive medicine. Although recent studies have shown encouraging results in the application of machine learning algorithms to the prediction of heart disease, it has been noticed that most of the algorithms are more concerned with accuracy-driven optimization than the concerns of safety and false negatives. In …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 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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Assessment of Finerenone Safety and Efficacy in Individuals with Type 2 Diabetes and Chronic Kidney Disease
Abstract: Background: In this work, we provide strong evidence for the safety and efficacy of finerenone in people with type 2 diabetes and chronic kidney disease. Our goal is to improve patients' quality of life and general well-being through our research. Aim: Finerenone exhibited a significant decrease in the likelihood of renal and cardiovascular (CV) events in individuals with both type 2 diabetes and chronic kidney disease. This exploratory subgroup analysis …
Published in International Journal of Antibiotics · Vol. 1, Issue 2, 2024 · pp. 06–09 Read article
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A General Review of Mucuna Pruriens W.S.R to its effect on Parkinson’s Disease.
Abstract: Mucuna Pruriens is a very famous drug prescribed in classical ayurvedic science in various disorder of Nervous System including Kampavata .In Clinical Practice ,Physician used Levadopa as a Dopamine replacement agent in controlling bradykinetic symptoms apparent in Parkinson disease so used successfully in treatment of Parkinson disease.Kapikacchu(Mucuna Pruriens) is having Balya, Brimhanaha, Vrishya, and Vatahara properties and is a natural source of L-dopa. So, keeping in views of the degenerative …
Published in Research & Reviews : Journal of Herbal Science · Vol. 13, Issue 1, 2024 · pp. 1–6 Read article
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Status Of Sucking Insect Pests And Yellow Mosaic Disease Incidence In Major Greengram, (Vigna Radiata) Growing Districts Of Karnataka
Abstract: Yellow Mosaic Disease (YMD) and sucking insect pests are the serious problem to greengram growing farmers in Karnataka. Information on the regional distribution of vectors involved and the disease transmitted is essential to manage the pests. In the present study, roving survey was undertaken during Kharif season of 2018 and 2019 in eight major greengram growing districts of Karnataka. The species of sucking pests observed on green gram are whitefly, …
Published in International Journal of Insects · Vol. 1, Issue 1, 2024 · pp. 1–6 Read article
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Classification of Skin Disease Images Using EfficientNetTransfer Learning Technique
Abstract: Melanomous Skin lesions are among the deadliest kinds of cancer. Despite being a very uncommon skin condition, melanoma is responsible for 75% of cancer-related deaths. Dermatologists perform dermoscopy more commonly than any other procedure. Since it aggravates the skin condition, a dermatologist will be the first to identify it during an inspection. Because this strategy depends on the user's visual perception and experience, it can only be used by highly …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 · pp. 7–12 Read article
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An Evaluative Comparison of CD123 and CD66c as Biomarkers to Detect Minimal Residual Disease in B-Cell Acute Lymphoblastic Leukemia
Abstract: Background: B-cell Acute Lymphoblastic Leukemia (B-ALL) often shows lineage heterogeneity with lymphoid cells expressing myeloid markers. Minimal Residual Disease (MRD) refers to the small number of cancer cells that may remain in a patient's body after treatment and that are undetectable by standard diagnostic methods. In diseases like B-cell Acute Lymphoblastic Leukemia (B-ALL), MRD is a critical prognostic indicator, as its presence can signal a higher risk of relapse. In …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 · pp. 7–12 Read article
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In Silico Analysis and Docking Study of the Active Phytocompounds of Bacopa monnieri Against Alzheimer Disease
Abstract: Objective: Alzheimer’s is a neurodegenerative disease and is the cause of 60–70% of cases of dementia. It infected a million people worldwide. An effort was undertaken to explore the potential of natural compounds found in Bacopa monnieri, a plant renowned for its extensive medicinal properties in Indian Ayurveda, to combat the disease. This was achieved through molecular docking studies, evaluation of drug-likeness, and comprehensive ADME (absorption, distribution, metabolism, and excretion) …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 2, 2024 · pp. 1–13 Read article
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Role of Centella asiatica in Alzheimer’s Disease: A Comprehensive Review
Abstract: Alzheimer's disease (AD) is a progressive neurological illness that causes cognitive decline and memory loss and affects millions of people worldwide. As synthetic medications often prove ineffective or cause severe side effects, natural remedies are gaining attention. This review explores the potential of Centella asiatica, a herb traditionally used in oriental medicine, in the treatment of Alzheimer's disease. Triterpenoids, asiaticoside, and madecassoside are among the bioactive substances found in Centella …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 1–7 Read article
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Evaluation of Small Vessel Disease by Advanced Brain Imaging
Abstract: Studying and comprehending brain small vessel disease requires extensive imaging. Recent applications of cutting-edge brain imaging techniques have led to the discovery of several significant results. Diffusion-weighted MRI studies have demonstrated the diagnostic accuracy of using clinical features alone or in combination with CT scan results to identify small vessel disease as the underlying cause is suboptimal in patients with acute lacunar syndromes. Acute infarcts caused by small vessel disease …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 15–19 Read article
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Breakthroughs in Biotechnology for the Regulation of Infectious Diseases
Abstract: Infectious diseases have a heavy impact on both public health and the world’s economies. In most diseases, antibiotic resistance has become widespread over time. A variety of diseases comprising pneumonia, tuberculosis, and gonorrhea go through the same evolutionary processes, which include the formation of drug-resistant pathogens in response to selection pressure from medications and their potential extinction when drug use is ceased. Since the occurrence of drug resistance in serious …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 1, 2025 · pp. 1–25 Read article
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Analysis and Application of Mathematical Modeling in Malaria Disease Control
Abstract: In this paper, we develop a mathematical model to analyze malaria transmission dynamics, as malaria is an infectious disease caused by the spread of progenitor parasites to humans through the bite of the female Anopheles mosquito. Mathematical models have long served as a framework for understanding and managing the impact of malaria, which has affected populations for over a century. Our model incorporates infected individuals who may recover and later …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 2, 2025 · pp. 19–25 Read article
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Smart Agriculture in India: Advancements in Image Processing for Automated Plant Disease Detection and Crop Analysis
Abstract: The adoption of image processing technologies in agriculture is emerging as a revolutionary method for tackling persistent challenges in the farming industry. These techniques are increasingly used for different tasks such as detecting plant diseases, assessing crop health, and predicting yields, especially in the framework of smart agriculture systems. This study paints a detailed picture of the latest progress in image processing techniques applied to automated disease detection and detailed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 13–19 Read article
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Prevalence and Risk Factors of Neglected Tropical Diseases Among Women and Children in Rural Liberia: A Regional Perspective
Abstract: Neglected Tropical Diseases (NTDs) remain a critical public health challenge in Liberia, disproportionately affecting women and children in rural regions due to systemic inequities in water, sanitation, and healthcare access. This cross-sectional study assessed the prevalence and risk factors of NTDs among 1,000 participants (600 children above 15 years and 400 women aged 15–49) in rural Liberia using stratified and cluster sampling. Laboratory diagnostics, including Kato-Katz stool analysis, urine filtration, …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 2, 2025 · pp. 1–7 Read article
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Classification of Plant Leaf Diseases Using Deep Learning Concepts
Abstract: Agriculture is vital to the economy of a country like India, where 70% of the workforce is employed in this sector. Plants suffering from illnesses experience a significant reduction in output. Delays in the identification of plant diseases lead to decreased yield and plant mortality. The cost of manufacturing is increased since it takes a big number of experts to manually detect plant diseases over several acres of land. The …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 46–55 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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Early Disease Detection Using Artificial Intelligence
Abstract: Growth in artificial intelligence and machine learning now make it possible for the healthcare sector to be totally transformed by a new chapter, particularly in the era of medical image analysis. This study focuses on harnessing these advancements to develop a sophisticated model for early disease detection across diverse medical domains, majorly in skin disease. By integrating diverse datasets and leveraging advanced algorithms, our methodology aims to identify subtle disease …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 11–19 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article