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648 articles for “Medical Data”
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AI-Powered Drug Delivery: Revolutionizing Formulation Science
Abstract: Artificial Intelligence (AI) is emerging as a groundbreaking tool in revolutionizing Drug Delivery Systems (DDS), offering promising advancements in precision, efficiency, and personalized treatment strategies. The integration of AI technologies into pharmaceutical research and development is transforming how drugs are formulated, delivered, and monitored in real time. By leveraging machine learning algorithms and data analytics, researchers can design drug delivery models that are not only more effective but also tailored …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 48–61 Read article
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Clinical features, Related Problems and Health Seeking Behaviour Among Clients with Nephrolithiasis and Urolithiasis in a Tertiary care Hospital
Abstract: Renal stone is a common problem worldwide with its increasing prevalence. They are imposing a significant economic burden for nations. Lifestyle and environmental factors contribute significantly in their formation. Presentation of renal colic is common and therefore treatment is not delayed. However, in absence of any preventive measure >50% renal stone may reoccur. Renal stone may reoccur at any age, the peak incidence is reported between 20–49 years. Males are …
Published in Journal of Nursing Science & Practice · Vol. 9, Issue 3, 2019 · pp. 40–45 Read article
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Adverse Events Associated with Oral First-in-Man Administration of New Chemical Entities Compared with Placebo – An Analysis of 14 Single- and Multi-Dosing, Double-Blind, Placebo-Controlled Studies
Abstract: This investigation is a retrospective analysis of the adverse events (AEs) associated with oral administration of new chemical entities (NCEs)for the first time in humans. We gathered data from 14 single- and multiple-dosings of FIM NCE studies conducted in our centre over a period of 5 years. In total, 452 subjects were dosed. A total of 2280 doses were administered. Active medication was given on 1763 dosing occasions and placebo …
Published in Research and Reviews: A Journal of Toxicology · Vol. 2, Issue 3, 2012 · pp. 1–6 Read article
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A Molecular Docking Study: Targetting HIV-1 Integrase Protein Against Selected Phytocompounds from Calophyllum Lanigerum
Abstract: Objectives: The most common form of HIV that causes AIDS is HIV-1. The World Health Organization has estimated roughly 75 million plus HIV-1 infections till date and roughly 40 million deaths (as of 2021). Thus, this study was done to identify natural compounds from Calophyllum lanigerum, a medicinal plant largely endemic to South-East Asia, to inhibit the spread of this disease. It did so by using molecular docking methods, Lipinski …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 2, 2023 · pp. 43–55 Read article
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Blockchain Enabled Security Framework: Smart Healthcare
Abstract: To explores the transformative potential of blockchain technology in managing, securing, and ensuring the integrity of Electronic Health Records (EHRs). EHRs, which store vital patient information such as medical histories, diagnoses, prescriptions, and imaging results, are essential for enhancing healthcare delivery. Conventional centralized Electronic Health Record (EHR) systems encounter issues such as susceptibility to single points of failure, security risks, and constraints in maintaining data integrity. By leveraging blockchain’s inherent …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 11–17 Read article
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Prevalence and Treatment Outcome of Burn Injury among Pediatric Patients Attending Pediatric Emergency OPD of Hawassa University Comprehensive Specialized Hospital, Hawassa, Southern Ethiopia
Abstract: Background: Burn injury is one of the most common and devastating forms of trauma and a major health problem of pediatric morbidity and mortality worldwide resulting in substantial physical, psychological and economic loss. Burn-related injuries are a significant burden in children, particularly in low and middle-income countries (LMICs), where more than 90% of burn-related pediatric deaths occur [1]. The aim of this study was to assess the prevalence and treatment …
Published in Research and Reviews : Journal of Computational Biology · Vol. 7, Issue 3, 2018 · pp. 8–15 Read article
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Automated Healthcare Support System with AI
Abstract: The Automated Healthcare Support System with Artificial Intelligence (AI) presents a smart and scalable digital solution aimed at improving the accessibility and efficiency of healthcare services. The system is designed to provide preliminary medical guidance, perform symptom-based analysis, and deliver health-related insights through an intuitive user interface. By enabling early identification of potential health conditions, it assists users in determining the necessity of professional medical consultation. The proposed platform utilizes …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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High-Definition Electroencephalography: A New Horizon in Neurological Pathology Research
Abstract: The advent of high-density electroencephalography (HD-EEG) has catalyzed a paradigm shift in the exploration of neurological pathologies. This editorial underscore its transformative potential in elucidating brain dynamics and refining diagnostic approaches for a spectrum of conditions, spanning from epilepsy and dementia to cognitive impairments in preterm infants. Our objective is to optimize the utility of HD-EEG by emphasizing the imperative for methodological homogenization and fostering collaborative endeavors. The remarkable spatial …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 15–21 Read article
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Detecting Fake Images with Python: A Simple Approach Using OpenCV and MD5
Abstract: In today’s modern era, ensuring the authenticity of pictures is crucial. This article presents a straightforward method for identifying fake pictures using the widely used OpenCV and MD5 technologies. OpenCV helps us examine pictures for irregularities such as abnormal colors or shapes, while MD5 is a unique digital fingerprint for each image. Our approach combines these tools to create a robust fraud detection system. OpenCV carefully examines various aspects of …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 1, 2024 · pp. 45–49 Read article
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Targeting Dystrophin Restoration and Neuroprotection in Duchenne Muscular Dystrophy: Insights from Withania somnifera
Abstract: Duchenne muscular dystrophy is a genetic disorder. This disease affects men more common than women. Main objective of the present study was to identify the naturally active phytocompounds from Withania somnifera (Ashwagandha). Ashwagandha has a great value in the field of Ayurveda and Indian medicine and is used for treating muscular and neurological disorders. Toxicity prediction, molecular docking, statistical information, drug illness prediction, and Absorption, distribution, metabolism, excretion, and toxicity …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 64–84 Read article
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Literature Review and Discussion of Machine Learning Algorithms for Predicting Chronic Kidney Disease
Abstract: Being one of the most serious and most occurring diseases in our era, chronic kidney disease requires a fast and correct diagnosis. The usage of machine learning in medicine has now grown to such a level that it could be a means of diagnosis. The doctor can be the first one to get the ailment by using machine learning classifier algorithms. This has been the data science sector’s new horizons, …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 34–39 Read article
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Assessment of the Knowledge and Practices of Mothers Performing Kangaroo Mother Care for Neonates
Abstract: The present study was conducted with an objective to assess the knowledge and practices of mothers performing kangaroo mother care (KMC) for low birth weight babies at neonatal intensive care unit (NICU), Neonatal Nursery (NNN) and maternity ward of Nehru Hospital, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India. Using purposive sampling technique, 50 mothers were included in the study. After obtaining the informed consent, a questionnaire …
Published in Journal of Nursing Science & Practice · Vol. 3, Issue 3, 2013 · pp. 1–5 Read article
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Clinical Profile of Dengue Patients who had a Prior Infection with the Covid 19 Virus in a Tertiary Care Centre
Abstract: This cross-sectional analytical study conducted in a tertiary care center aims to investigate the clinical profile of Dengue virus-infected patients with a prior history of COVID-19 within the last three years. Dengue, a prevalent tropical disease, ranges from mild fever to severe conditions like hemorrhagic fever and shock syndrome. The study utilizes the World Health Organization's 2009 classification for Dengue and delineates the febrile, critical, and recovery phases of infection. …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 1, 2024 · pp. 34–38 Read article
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Complications with Malware Identification in IoT and an Overview of Artificial Immune Approaches
Abstract: An immunity is facilitated by lymphocyte T&B-cells that possess a wide range of T&B-cell receptors, respectively. These cells can identify and react to pathogens and diseased cells by presenting peptide antigens by means of significant histocompatibility complexes (MHCs). The amount of data on the repertoire of adaptive immune receptors has increased dramatically in recent years because to advancements in deep sequencing. Furthermore, the presentation of peptides with MHC has been …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 1, 2024 · pp. 54–62 Read article
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Targeting Vasopressin 2 Receptor (V2R) in Renal Cystogenesis by Exploring the Nephroprotective Potential of “Terminalia arjuna”
Abstract: Objectives: Autosomal dominant polycystic kidney disease (ADPKD) is the most common inherited kidney disorder, leading to the formation of multiple cysts in the kidneys. It is a major cause of end-stage renal disease (ESRD), which often requires dialysis or a kidney transplant for survival. This research focuses on identifying potential bioactive compounds derived from natural sources that show promise for drug development targeting the V2R gene. Methods: The naturally occurred …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 2, 2024 · pp. 14–24 Read article
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An Experimental Study to Assess the Effectiveness of Planned Teaching Program Regarding Pelvic Rocking Exercise and Dry Ginger on Knowledge and Attitude Regarding Dysmenorrhea
Abstract: Objective: Dysmenorrhea is characterized by painful menstrual cramps originating from the uterus and is a common gynaecological condition affecting women of all ages and nationalities. Primary dysmenorrhea refers to menstrual pain without any underlying organic disease, while secondary dysmenorrhea occurs due to an identifiable medical condition. Common causes of secondary dysmenorrhea include endometriosis, fibroids, adenomyosis, endometrial polyps, pelvic inflammatory disease, and the use of intrauterine contraceptive devices. Methodology: Experimental research …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 1, 2024 · pp. 6–10 Read article
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Novel Strategic Framework for AI-Driven Discovery and Development of Smart and Sustainable Polymers in Healthcare
Abstract: The development of new smart and sustainable polymers is emerging as a priority of new health care innovative development, but event before it may be actualized, the usual culprit is the delay and unproductive execution of the old-fashioned R&D efforts. The current paper proposes a strategic plan which will solve all these shortcomings and speed up the material discovery process by using Artificial Intelligence (AI) and Machine Learning (ML). The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1535–1550 Read article
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Smart Cardiazmo Implemented Using Internet of Things
Abstract: In this research, we present a system that uses sensors to identify a person's heart rate utilizing heartbeat sensing even if they are at home. The idea is to detect a heart attack early enough that the patient can receive medical help within the first few hours. As a result, his or her chances of survival are considerably increased. Here we use the AD8232 sensor for the cardiography of the …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 3, 2021 · pp. 35–48 Read article
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Urinary Tract Infection (Tadiya-e-Majra-e-Baul) in Unani System of Medicine
Abstract: In classical Unani system of medicine Tadiya-E-Majra-e-Baul. (Urinary Tract Infection) comes under the heading of Hirqatul-baul (burning micturition) which is caused by obstruction in Urinary Tract due to stone, Jisme Gharib (foreign body) Ghaliz Ghost (Badgosh), Hamal (Pregnancy), and Characterized by frequency of micturition, urgency of micturition, burning micturition and anuria . It is an Unani Medicine of Shora Qalmi, Rewand Chini and Kababchini. Having safe and good result in …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 7, Issue 2, 2020 · pp. 34–39 Read article
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Applications of Computational Biology and Bioinformatics: An Overview
Abstract: Bioinformatics is a multidisciplinary science that combines biology, mathematics, and computer science. The use of computer science to handle biological data in order to decode plant genomes is known as bioinformatics. More than a decade ago, the science of bioinformatics arose as a tool to aid biological discoveries. The creation of the Human Genome Project (HGP) resulted in a tremendous rise in biological data. Capturing, managing, processing, analysing, and interpreting …
Published in Research and Reviews : Journal of Computational Biology · Vol. 10, Issue 2, 2021 · pp. 20–24 Read article