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1969 articles for “rokitansky’s disease.”
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Rodents and Zoonotic Diseases: Environmental Drivers and Prevention Measures
Abstract: Among the most ubiquitous animal species, rats spread several human diseases. Found in cities, rural areas, and everywhere in between, rats have adapted remarkably well to living alongside people. Unfortunately, this close contact makes it easier for them to carry and pass on harmful germs. Their biology, fast breeding, and ability to host various bacteria, viruses, and parasites often without getting sick themselves make them especially effective at spreading disease.This …
Published in International Journal of Virus Studies · Vol. 2, Issue 2, 2025 · pp. 12–21 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
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Infectious Diseases: Current Epidemiology, Pharmacotherapeutic Strategies, and Global Health Perspectives
Abstract: Infectious diseases are still a major health challenge in the world, and there is increased strain on the health systems of nations. This review examines the most important issues in the management of infectious diseases, such as the distribution and effect of infectious diseases across the world, pharmacotherapeutic approaches, and the functions of public health interventions. New threats such as antimicrobial resistance (AMR), the contribution of climate change, and the …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 1, 2026 · pp. 10–18 Read article
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Evaluation of New Fungicides for the Management of Mango Anthracnose Disease Caused by Colletotrichum Gloeosporioides
Abstract: A field experiment was conducted at the field of Plant Pathology Division, Regional Agricultural Research Station (RARS), Bangladesh Agricultural Research Institute (BARI), Jamalpur-2000, Bangladesh during February to July 2024 to assessment the efficacy/effectiveness of thirty-five (35) new fungicides received from Pesticide Technical Advisory Committee (PTAC), Bangladesh with control treatment against anthracnose disease of mango. Most of the fungicides under inspection were able to control the disease successfully. This study suggests …
Published in International Journal of Trends in Horticulture · Vol. 3, Issue 1, 2026 · pp. 1–16 Read article
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Artificial Intelligence in Early Diagnosis and Personalized Treatment of Alzheimer’s Disease
Abstract: Artificial intelligence (AI) has become a disruptive technology in the medical care industry, with potential solutions to early diagnosis and customized treatment of Alzheimer’s disease (AD), a progressive neurodegenerative disease and the most prevalent cause of dementia globally. Conventional diagnostic techniques, such as cognitive, neuroimaging and biomarker techniques, are usually limited in the ability to detect disease at its most susceptible stage when treatment interventions are most effective. The recent …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 · pp. 15–27 Read article
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Veterinary Immunology in Zoonotic Disease Control
Abstract: Zoonotic diseases, which are transmissible between animals and humans, pose a significant threat to global public health, food security, and economic stability. Veterinary immunology plays a pivotal role in understanding host–pathogen interactions, developing preventive strategies, and mitigating the impact of these diseases. Animals serve as reservoirs for a variety of pathogens, including viruses, bacteria, and fungi, which can persist asymptomatically or cause clinical disease. Understanding the immune mechanisms in both …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 3, 2025 · pp. 36–43 Read article
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Synopsis of Plant Disease Detection Methodologies and their effect on Environment
Abstract: Agriculture is the primary occupation in India. It accounts for 18% GDP and provides employment to 50% of country’s labour’s. However, due to climate change, yield of crops is reducing and affecting Indian economy. One of the reason behind this is increase in number of plant diseases. So, disease detection becomes vital. But it needs huge personnel, additional processing time, extensive knowledge on plants and their diseases. Hence, machine learning …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 10, Issue 3, 2020 · pp. 16–21 Read article
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Generating Weights for Fuzzy Decision Making Mechanism to Diagnose Heart Disease
Abstract: AbstractHeart disease is one of the diseases spread around the world. It suddenly kills the human community. So use of fuzzy logic to diagnosis the heart disease is essential. So the study was conducted with the following components. They are fuzzification, fuzzy decision making mechanism and defuzzification. The crisp values are changed into fuzzy values by fuzzification. Fuzzy decision making mechanism is based on adaptive neuro fuzzy inference system which …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 7–13 Read article
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Deep Learning Based Plant Disease Detection
Abstract: Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. The combination of increasing global smartphone penetration and recent advances in computer vision made possible by deep learning has paved the way for smartphone-assisted disease diagnosis. Using a public dataset of images of diseased and healthy plant leaves collected under controlled …
Published in Journal Of Network security · Vol. 8, Issue 2, 2020 · pp. 33–42 Read article
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An Imagination for future Immunology in a story " IMMUNO-MACHINE " : to cure diseases
Abstract: Still a number of diseases like cancer , alzheimer, dementia etc are not completely cured and finally patients die . The treatments of such diseases are very painful and costly. It is not only restricted to patients but also affected to those associated with patients that are his / her family, friends and relatives. Scientists, Immunologists and Doctors are researching and trying to find some good and easy treatments of …
Published in Research and Reviews : A Journal of Immunology · Vol. 13, Issue 3, 2023 · pp. 48–51 Read article
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Serum Hepcidin Status of Sickle Cell Disease Subjects with Multiple Blood Transfusion in Nigeria
Abstract: Objectives: No effective physiological mechanism for excess iron excretion is known in humans. Conditions such as sickle cell disease (SCD), where red blood cell transfusion is a frequently employed therapy can subsequently result in ready accumulation and circulation of exogenous iron as non-transferrin bound iron in tissues with possible impairment of iron homeostasis in them. Aim: The influence of multiple blood transfusions on the patterns of iron homeostasis in correlation …
Published in Research and Reviews: A Journal of Medicine · Vol. 9, Issue 2, 2019 · pp. 1–9 Read article
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Stem Cell Therapy for Parkinson's Disease: Past, Present and Future
Abstract: Parkinson’s disease (PD) is one of the most common chronic progressive nervous system disorders of aging. Cell degeneration and death of dopamine neurons (DA neurons) in the substantial nigra, is the underlying feature of PD. Genetic studies showed much about the physiological processes associated with this disease. Replacing the cells lost by injury or disease has become a central idea aiming at the development of novel therapy for neurodegenerative diseases. …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 9, Issue 1, 2019 · pp. 1–12 Read article
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A Literature Review on Therapeutic Approaches towards Pick’s Neurodegenerative Diseases
Abstract: Pick’s Disease is a neurodegenerative disease often confused with Alzheimer’s and which causes an irreversible decline in the body functioning of a person. The major purpose of this review is to make a study on the current trends and future scopes for the chemotherapeutic therapies which can be used for the treatment of the Pick’s Diseases. Keywords: Pick’s Diseases, Neurodegenerative Diseases, Alzheimer’s Diseases Cite this ArticleK. Gaurav. A Literature Review …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 5, Issue 2, 2015 · pp. 24–28 Read article
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An overview on the diagnosis and approaches in pharmacological management of Parkinson’s disease
Abstract: Parkinson’s disease (PD) might be a mutual neurodegenerative disease considered by a movement disorder containing rest tremor, bradykinesia, rigidity, and postural instability, and second-leading reason of dementia and is categorized by an advanced loss of dopaminergic neurons within the neural structure alongside the occurrence of intraneuronal α-synuclein-positive enclosures. PD is identified where bradykinesia happens along with rigidity or tremor within the existence of supporting features. The diagnosis is clinical, and …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 11, Issue 1, 2021 · pp. 1–8 Read article
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An Essay Discussing Budd-Chiari Syndrome
Abstract: Budd-Chiari syndrome (BCS) is defined as hepatic venous outflow tract obstruction, independent of the level or mechanism of obstruction, provided the obstruction is not due to cardiac disease, pericardial disease, or sinusoidal obstruction syndrome (veno-occlusive disease). Primary Budd-Chiari syndrome is present when there is obstruction due to a predominantly venous process (thrombosis or phlebitis), whereas secondary Budd-Chiari is present when there is compression or invasion of the hepatic veins and/or …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 12, Issue 2, 2023 · pp. 7–14 Read article
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Revolutionizing Agriculture: Botani Scan’s Deep Learning for Plant Disease Diagnosis
Abstract: Crop disease detection is of key importance because of its role in food safety but infrastructural issues still hamper diagnosis in most regions worldwide. Accurate plant disease identification is essential to secure food, predicting yield decline and managing epidemic outbursts. The advent of digital cameras along with the progress of computer vision technology brings to light the mounting demands for the development of automated disease detection methods in precision agriculture, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 Read article
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A Study to Assess the Knowledge and Attitude Regarding Post Dialysis Dietary Regulations Among Care Givers of Chronic Kidney Disease Patient Undergoing Hemodialysis in Selected Hemodialysis Unit at Agartala, West Tripura
Abstract: Introduction and objectives of the study: - Chronic renal failure is a gradual, irreversible decline in kidney function, leading to uremia. This condition necessitates hemodialysis to manage the body's internal environment. Dialysis becomes essential at the final stage of chronic kidney disease, known as end-stage renal disease. Objectives of the study are as: i) The objectives of this study are: i) To evaluate caregivers' understanding of dietary regulations following dialysis …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 89–103 Read article
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Comparative Analysis of Heart Disease Prediction System
Abstract: In the present world, where heart illnesses are on the rise, it is crucial to forecast these diseases. Performing the task on heart disease is a bit difficult and it must be finished precisely and successfully. Heart disease identification relies heavily on Machine Learning (ML) and data mining approaches. The primary focus of the review paper is that patients are easily prone to cardiac diseases depending on medical traits. Using …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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Machine Learning-Based Approach for Heart Disease Prediction
Abstract: Heart disease is a significant global health challenge, with early diagnosis and prediction being essential for reducing mortality rates. Machine Learning (ML), an efficiently developing field within Artificial Intelligence, provides innovative methods for analyzing complex clinical data to predict heart disease. This review examines the basic machine learning techniques, data, and metrics used in cardiovascular disease prediction. It explores the role of supervised learning, such as decision trees and logistic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 64–73 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