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1068 articles for “diseases”
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An Empirical Study of Hyperparameter Impact on Deep Learning Models for Cardamom Leaf Disease Classification
Abstract: Recent advancements in deep learning models like convolutional neural networks and self- attention mechanisms have achieved great success in the field of plant disease classification. This study investigates the efficacy of two pre-trained models, ConvNeXT-Tiny and Swin Transformer-Tiny, for leaf disease classification in cardamom using a publicly available dataset constituting three categories of leaves, namely Healthy, Colletotrichum Blight and Phyllosticta Leaf Spot. The effectiveness of the models highly depends on …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 48–60 Read article
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A Review on Applications of Artificial Intelligence (AI) in Parkinsons’s Disease Diagnosis and Treatment and Its Future Challenges
Abstract: Parkinson’s disease (PD) is a long-term, progressive neurodegenerative disorder that mainly occurs in people older than 60 years, affecting nearly 1% of this population. It is chiefly marked by the loss of dopaminergic neurons in the substantia nigra, a crucial brain region responsible for controlling motor functions. The resultant dopamine deficiency significantly disrupts motor control, manifesting in clinical symptoms such as tremors, bradykinesia, muscle rigidity, and postural instability. While PD …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 · pp. 1–15 Read article
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Kisunla (Donanemab): A Novel Breakthrough Illuminating a Path to Better Alzheimer’s Outcomes
Abstract: Background: Alzheimer’s disease (AD) is a progressive neurodegenerative condition marked by cognitive decline, memory loss, and loss of independence. Despite decades of extensive research, disease-modifying treatments have been limited in success. Recent therapeutic advancements have led to the development of monoclonal antibodies targeting amyloid-beta (Aβ) plaques, particularly the pyroglutamate-modified variant, a key pathological hallmark of AD. Objectives: This review aims to explore the therapeutic potential of Donanemab (Kisunla), a novel …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 · pp. 37–45 Read article
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Epidemiology and transmission of infectious diseases study using Machine learning
Abstract: Infectious diseases remain a formidable global health challenge, characterized by rapid evolution and complex transmission dynamics that often outpace traditional epidemiological surveillance and response mechanisms. This study investigates the transformative potential of machine learning (ML) methodologies to enhance our understanding and prediction of infectious disease epidemiology and transmission. Leveraging diverse datasets—including clinical records, genomic sequences, environmental factors, social mobility data, and real-time digital footprints—we studies and presented various ML models …
Published in International Journal of Pathogens · Vol. 2, Issue 2, 2025 Read article
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Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis
Abstract: Early detection of Alzheimer's disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease. This paper presents a deep ensemble learning approach that integrates multiple convolutional neural networks (CNNs) for accurate Alzheimer's disease detection using structural Magnetic Resonance Imaging (MRI) data. The proposed framework utilizes ResNet50, VGG16, and DenseNet121 …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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Deep Learning models for real time detection of crop diseases in the Maharashtra/Mumbai district
Abstract: This research project addresses the critical agricultural challenge of crop disease management in the Maharashtra region of India by leveraging modern deep learning techniques. The primary objective is to identify, implement, and compare the efficacy of various deep learning architectures—including Convolutional Neural Networks (CNNs), MobileNet, and EfficientNet—for the real-time classification of diseases in key crops such as cotton, soybean, and sugarcane. A custom dataset of agricultural images specific to Maharashtra's …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 36–48 Read article
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Basic Concept and Role of Memory Enhancer (Muqawwi- E-Hafiza) Unani Drugs in the Management of Alzheimer’s Disease (Nisyaan-E-Shekhukhi): A Review
Abstract: Alzheimer's disease is a neurological disorder in which the death of brain cells causes memory loss and cognitive decline, defined as a dementing illness in which anterograde amnesia is a dominant symptom and is the most common cause of Dementia in the elderly. There is no direct mention of this condition in classical Greek literature, but Alzheimer's disease is almost always associated with forgetfulness or fasaad-e-takhayy’ul. Although the etiology is …
Published in Research & Reviews : Journal of Herbal Science Read article
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An Integrated Study to Extrapolate the Interaction of NMDAR with Potential Ligands for the Treatment of Alzheimer’s Disease Symptoms
Abstract: Objective: Alzheimer’s disease (AD) is the most common neurodegenerative disease affecting the health status of older adults especially those above the age of 60 years. As an outcome, two types of medications have been developed for the treatment of its symptoms which are acetylcholinesterase (AChE) and N-methyl-D-aspartate receptor (NMDAR) antagonist. This paper uses the computational approach to understand the interaction of NMDAR with four major phytocompounds (curcumin, L-epicatechin, ginsenosides, and …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 1, Issue 1, 2023 · pp. 15–27 Read article
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The Current State of Huntington's Disease Treatment: An Overview of Palliative Care and Symptom Management
Abstract: Huntington's disease (HD) is a neurodegenerative ailment that adversely affects the basal ganglia and the cortex of the brain. Although there is no recognized cure for HD, symptomatic relief and therapeutic management of the condition have improved over the course of time. This review paper provides an up-to-date overview of the current treatment options and symptom management strategies utilized in the care of HD patients. Additionally, it highlights the existing …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 1, Issue 1, 2023 Read article
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Drugs for Alzheimer’s Disease from Salix Alba Discovered Computationally Utilizing Virtual Screening and Docking against 1b41 Protein
Abstract: Objective : The of this research is to evaluate the feasibility of using molecular docking techniques to identify novel acetylcholinesterase, a key enzyme implicated in the pathogenesis of Alzheimer’s disease, a neurodegenerative disorder with a gradual but steady progression to death, due to the gradual accumulation of beta-plaques and neurofibrillary tangles, as well as a decline in acetylcholine levels. Due to its function in converting acetylcholine into acyl and choline …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 2, 2023 · pp. 07–19 Read article
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Green Synthesis of Copper Nanoparticle for the Treatment of Neurodegenerative Disease
Abstract: The study of ecologically friendly CuNP synthesis is a growing area with potential applications in biomedical research and environmental remediation, as well as sustainable nanotechnology. Generally, reducing, and stabilizing agents such as microbes, plant extracts, or other natural sources are used. The green synthesis methodology guarantees the production of nanoparticles with desired characteristics for biomedical applications while simultaneously mitigating the environmental effect that comes with conventional chemical processes. CuNPs possess …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 13–24 Read article
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Horizon Scanning and Early Assessment of Health Technologies for the Treatment of Orphan Diseases
Abstract: The theoretical foundations and regulatory framework of the processes of the formation of an effective health technology assessment (HTA) system at the early stages of the life cycle of medicines are analyzed in the article. Particular attention is paid to horizon scanning (HS) and early assessment of expensive innovative drugs utilized for treating rare diseases. In order to inform policymakers, purchasers, and providers (to prioritize MT research, financial, and operational …
Published in International Journal of Brain Sciences · Vol. 1, Issue 1, 2024 · pp. 32–39 Read article
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A Narrative Review on Tuberculosis Disease Transmission, Treatment, Prevention, Emergency Care, and Vaccine Allocation in Second Highest Populated Country (India)
Abstract: Tuberculosis, an airborne illness caused by Mycobacterium tuberculosis, is a highly contagious disease primarily impacting the lungs, though it can also affect other body parts, excluding hair and nails. There are two main types of tuberculosis: pulmonary tuberculosis (PTB), which targets the lungs, and extrapulmonary tuberculosis (EPTB), which involves other areas such as lymph nodes, bones, joints, and the nervous system. The theme for World Tuberculosis Day in 2024 is …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 2, Issue 1, 2024 · pp. 7–13 Read article
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Nanotechnology-Enabled Biosensors for Early Disease Diagnosis and Personalized Healthcare Monitoring
Abstract: Nanotechnology has revolutionized the field of biosensors, enabling early disease diagnosis and personalized healthcare monitoring. Utilising the special qualities of nanomaterials—such as their high surface-to-volume ratio, remarkable electrical and optical capabilities, and customised surface chemistry—nanotechnology-enabled biosensors create extremely sensitive and focused diagnostic instruments. With previously unheard-of sensitivity and accuracy, these biosensors are able to identify and measure a wide range of biomarkers, such as proteins, nucleic acids, and tiny molecules. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 1, 2024 · pp. 1–15 Read article
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Exploring the Complexities of Parkinson’s Disease
Abstract: Parkinson’s disease (PD) is a neurological disorder, primarily affecting older adults, marked by both motor and non-motor symptoms. This review explores PD as a multisystem disorder that influences the central, enteric, and autonomic nervous systems, along with the immune system and gastrointestinal tract. Key pathogenic features include the degeneration of dopamine-producing neurons in the substantia nigra and the formation of Lewy bodies containing misfolded α-synuclein proteins. The bradykinesia, tremors, stiffness, …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 3, 2024 · pp. 1–8 Read article
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Multi-Target Molecular Docking of Anantmul (Hemidesmus indicus) Compounds for Tay-Sachs Disease Treatment
Abstract: This research aimed to study the effects of the plant Anantmul (Hemidesmus indicus) in the treatment of Tay-Sachs disease using molecular docking studies. Tay-Sachs disease is a neurodegenerative autosomal recessive disorder caused due to accumulation of the molecule GM2 ganglioside which is caused due to lack of enzyme Beta Hexosaminidase which breaks down GM2 Ganglioside. Anantmul (Hemidesmus indicus) is a an ayurvedic plant used in the Indian subcontinent that has …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 2, 2024 · pp. 61–69 Read article
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Virulence Factors in pathogens :mechanisms of infection & disease progression
Abstract: Pathogens, like bacteria, viruses, fungi, and parasites, have evolved specialized tools – known as virulence factors – that help them infect hosts, escape the immune system, and cause disease. These factors play a key role in determining how severe an infection becomes, how quickly it spreads, and how the body responds. Some pathogens use adhesins to stick to host cells, while others produce toxins that damage tissues or disrupt normal …
Published in International Journal of Pathogens · Vol. 2, Issue 1, 2025 · pp. 6–11 Read article
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Algorithm for the prediction of cardiovascular disease (CVD)
Abstract: cardiovascular diseases (CVD) still claim a significant number of deaths globally and remain the number one killer with an annual death toll of nearly 17.9 million. While several medical advancements have been made, an early diagnosis is still hard to obtain, which often leads to worsening conditions and intricate treatment options. With the advancement of modern technology, Machine learning has demonstrated to be a miraculous tool which can greatly impact …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 Read article
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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An Expected Cardiovascular Disease Detection Using Deep Learning Techniques
Abstract: Many avoidable deaths globally are caused by CVD, often due to individuals remaining unaware of their risk factors until severe symptoms, such as heart attacks or strokes, appear. This study utilizes retinal images as the dataset to explore the potential of retinal imaging as a non-invasive diagnostic tool for early detection of cardiovascular diseases (CVD). The delay in diagnosis and treatment highlights the need for sophisticated diagnostic instruments that can …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article