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648 articles for “Medical Data”
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A Practical Approach to Clinical Trials: Concepts and Methodologies
Abstract: AbstractClinical trial is a research study that is conducted on human volunteers to collect safety and efficacy data for health interventions (e.g., drugs, diagnostics, devices, therapy protocols). Clinical trial is intended to produce knowledge valuable for understanding human disease, preventing and treating illness and promoting health. Clinical trials can only be conducted after gathering satisfactory information on the quality and non-clinical safety of the product, and after taking Ethics Committee …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 3, Issue 1, 2014 · pp. 35–40 Read article
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An Assessment of Perception towards Computers in Health Care among Nurses in Selected Tertiary Care Centre, North India: Cross Sectional Study
Abstract: The health sector is faced with tremendous advancement in digital, namely, in utilization of computers. Nursing is continually exposed to a myriad of changes in technological advancements. The objectives of the study were to assess the perception towards computers in health care among nurses in selected tertiary care hospital and to determine association of nurse’s perception towards health care with selected demographic variables. This cross sectional descriptive study was conducted …
Published in Journal of Nursing Science & Practice · Vol. 7, Issue 3, 2017 · pp. 1–4 Read article
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Development of Sodium Alginate Beads of Telmisartan Using Emulsion Gelation Method: Formulation and In-Vitro Characterization
Abstract: Introduction: The antihypertensive medication Telmisartan (TEL) is a member of BCS class II, which is distinguished by limited oral rate and extent and water solubility. By localizing the medication release in the stomach, gastro-retentive floating bead devices may be able to address the issues related to partial absorption and the low solubility of TEL. The preparation of TEL floating alginate beads was the aim of this investigation. The current work …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 3, 2024 · pp. 13–21 Read article
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Clone-Specific Drug Delivery Systems: Targeted Approaches and Future Clinical Applications
Abstract: Clone-specific drug delivery systems represent a transformative frontier in personalized medicine, addressing the longstanding challenge of clonal heterogeneity within diseases such as cancer, infectious diseases, and autoimmune disorders. Traditional drug delivery platforms often fail to discriminate between pathogenic and healthy cells, leading to systemic toxicity and reduced therapeutic efficacy. In contrast, clone-specific systems aim to selectively target and eliminate disease-driving cellular clones based on unique molecular signatures, thereby improving treatment …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 21–29 Read article
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Detection and Classification of Diabetic Retinopathy Using Deep Learning Techniques
Abstract: This project delves into the evaluation of three prominent deep learning architectures Basic CNN, ResNet, and DenseNet for their efficacy in detecting diabetic retinopathy from retinal images. Utilizing a diverse dataset, the study employs standard deep learning frameworks to train and validate each model. The focus extends to exploring the potential benefits of transfer learning on a limited dataset. Evaluation metrics like specificity, sensitivity, and accuracy are employed for a …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 64–69 Read article
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Alzheimer’s Disease Detection Using ML Algorithm
Abstract: A degenerative neurological state of affairs, Alzheimer's disease (AD) gradually impairs cognitive and functional capacities, especially in people over 65. Early AD detection is crucial for efficient management and treatment prep. This study delves into novel approaches for the early detection of AD using non-invasive methods. We've implemented a blend of neuroimaging data analysis and machine learning algorithms to pinpoint markers indicative of the disease during its initial phases. Our …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 53–57 Read article
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A Review on Neural Networks and its Applications
Abstract: Neural Networks have been a hotspot domain for researchers due to its increasing area of applications in areas where huge amounts of data is used and the main goal is to infer patterns out of it. This passage offers an assessment of Neural Networks and their pragmatic uses in real-world situations. It provides information regarding the basic structure of Neural Networks and its working principles. There are also brief introductions …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 60–71 Read article
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Comprehensive Review of Kojic Acid and Its Derivatives: Biological Activities, Safety, and Therapeutic Potential in Depigmentation
Abstract: There are several uses for kojic acid in human medicine, particularly in depigmentation. Additionally, derivatives of it are suggested to enhance efficacy, avoid side effects, and stop chemical degradation. With an eye toward human use and an attempt to clarify the action mechanisms, the goal of this study was to review the most recent scientific literature regarding the biological activities and safety information of kojic acid or its derivatives. During …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 45–53 Read article
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A Structure-based Design Approach to Catharanthus roseus Phytoconstituents as Potential Inhibitors of B-Cell Lymphoma 6 Protein
Abstract: Objectives: Lymphoma is a cancerous disease. It develops into millions of people worldwide. Identify the naturally active compounds from Catharanthus roseus, they have multiple values in the medicinal field of Siddha, and Indian Ayurveda are used as a disease-preventing agent. Drug illness prediction, toxicity prediction, statistical information, molecular docking, as well as absorption, distribution, metabolism, and excretion (ADME) analysis are used to predict the fit ligand as a drug. Methods: …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 1, Issue 2, 2023 · pp. 14–34 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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A Comprehensive Review of AI-Driven Strategies for Tailored Wellness and Dietary Recommendations
Abstract: In today’s fast-paced world, health and fitness have become top priorities for many individuals. As a result, people increasingly turn to mobile apps and digital tools to track their wellness goals, follow diet plans, and stay fit. However, most of these apps provide the same set of recommendations for all users, ignoring the fact that everyone has different needs. This one-size-fits-all approach often fails to keep users engaged and motivated, …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 16–20 Read article
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Physics-Informed Generative and Tensor-Based Framework for DNA Sequence Simulation and Genomic Structure Discovery
Abstract: In this paper, we explore the intersection of artificial intelligence (AI) and mathematical physics to propose advanced methods for DNA sequence generation and analysis. Specifically, we investigate how physics-informed Generative Adversarial Networks (GANs) and tensor network representations can be harnessed to restructure DNA for applications in genetic science. The proposed methodology offers a unique integration of concepts of thermodynamic modeling with innovative GAN architecture in order to allow the creation …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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The Augmented Role of DIF on Diagnosis of Glomerular Disease in a Study in Northern Part of Bangladesh
Abstract: Introduction: Direct immunofluorescence (DIF) study is an important investigation tool for the accurate diagnosis of glomerulonephritis (GN). This study was aimed to evaluate the pattern of glomerular diseases in the northern part of Bangladesh and to see the advanced role of DIF over light microscopic (LM) findings for accurate diagnosis of various glomerular diseases. Methods: This cross-sectional analytical study was carried out in the department of nephrology of Rangpur medical …
Published in Research and Reviews : A Journal of Immunology · Vol. 8, Issue 3, 2018 · pp. 32–36 Read article
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Possible Risk Factors Associated with Tuberculosis Treatment Failure Among Patients Attending Tuberculosis Treatment Centers in Kano State, Nigeria
Abstract: The widespread failure of tuberculosis chemotherapy has led to an increase in mortality and morbidity associated with tuberculosis infection. This study was aimed at assessing the possible risk factors associated with tuberculosis treatment failure in patients attending Aminu Kano Teaching Hospital (AKTH) and Infectious Disease Hospital (IDH), Kano State. Treatment outcomes of the 436 tuberculosis patients attending selected hospitals in 2018 were obtained using a retrospective study (review of the …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 13, Issue 2, 2023 · pp. 1–9 Read article
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Factors Associated with Relapse in Schizophrenia Patients Who are on Follow Up at Ayder Comprehensive Specialized Hospital and Mekelle General Hospital, Tigray, Ethiopia, 2018/19
Abstract: Schizophrenia is a chronic and disabling illness; relapse is recognized as the reemergence or the worsening of positive and/or negative psychotic symptoms, hospital admission or readmission. Factors that associated with relapse; substance use disorders, noncompliance of medicine, side effect experience of antipsychotic, poor social support, co-morbidity of other mental illness and chronic medical condition. The aim of this study was to identify factors associated with relapse in schizophrenia patients who …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 10, Issue 1, 2020 · pp. 9–15 Read article
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Pharmacovigilance And Drug-Induced Toxicities: A Clinical Perspective
Abstract: Pharmacovigilance, which aims to detect, assess, and prevent medication-induced toxicities and adverse drug reactions (ADRs), is a crucial part of healthcare. This study examines the several kinds of drug-induced toxicities, such as idiosyncratic, dose-dependent, and allergic reactions, and emphasizes the function of clinical pharmacists in the tracking and treatment of these illnesses. Pharmacovigilance systems are crucial because they can identify and handle drug-related safety issues that might not surface during …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 3, 2024 · pp. 17–30 Read article
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Effectiveness of Habb-e-Suranjan and Roghan-e-Farfiyun in the Management of Waja-ul-Rukba (Knee Pain): A Review
Abstract: Introduction: Knee osteoarthritis is a painful condition that represents the degeneration of the cartilage and osteophyte formation in the knee joint, which affects millions of people worldwide. According to the Unani claimed text, accumulation of “madda” (substance) in joints, which is neither absorbed nor expelled, is due to the absence of Quawwat-e-Jazibah (power of absorption) and Quawwat-e-dafia (power of expulsion). Unani medicine presents a promising approach for managing knee osteoarthritis …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 2, 2025 · pp. 7–12 Read article
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Power Spectral Study of Heart Rate Variability Time Series by the Adaptive Modified Continuous Morlet Wavelet Transform
Abstract: In this paper, a newly developed method referred as adaptive modified continuous Morlet wavelet transform has been proposed to improve the energy concentration in the time-frequency domain. The improvement is achieved by introducing the shape parameter to the Morlet function that is known as modified Morlet function. To make it adaptive, the modified Morlet function was optimized by concentration measure based on automatic determination algorithm. The proposed method was validated …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 2, 2017 · pp. 5–20 Read article
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Case Study on Benign Paroxysmal Positional Vertigo, Cervical Spondylitis with Bilateral Carpel Tunnel Syndrome and Psychosis under Evaluation
Abstract: A 55-year-old female patient was admitted in the general medicine female ward with the chief complaints of giddiness for three days, headache for three–four days (increases during exposure to light, sound and stress). She also complaints about nausea, vomiting on and off, giddiness on lying down and bending down, neck stiffness and pain in the both upper limbs for 5 years. Based on the subjective data’s obtained the prognosis was …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 10, Issue 1, 2020 · pp. 20–24 Read article
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Different Aspects of the Role of AI in Developed and Developing Countries and the Indian Economy
Abstract: Nothing is permanent; change is a constant in our world, often bringing both positive and negative effects. Modern technology is now ubiquitous, benefiting countries while also posing challenges. The critical question is the impact of artificial intelligence (AI) in the future. AI concepts have roots in ancient India, seen in the stories of epics and Upanishads, such as the Pushpak Viman in Ramayana and Sanjay’s divine vision in Mahabharata. This …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article