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648 articles for “Medical Data”
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Review on Darunaj-aqrabi (Doronicum hookeri C.B. Clarke): an Unexplored Medicinal Plant of Unani System of Medicine
Abstract: Introduction: The rhizomes of medicinal plant Darunaj-aqrabi (Doronicum hookeri C.B. Clarke ex Hook.f.) (Family Asteraceae) has long been used in Unani system of medicine (USM) as Cardiac tonic (invigorative and exhilarant), nervine tonic, carminative, protective of the foetus, antidotary etc. in different dosage forms. It is included in specific drugs for heart and is much valuable for palpitation. Because of having antidotal characteristics and protective (corrective) attributes, the rhizomes are …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 9, Issue 2, 2020 · pp. 41–52 Read article
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A Comparative Study on Associated Factors of Hypertension Among Working Women and Non-working Women
Abstract: Background: One in four people worldwide is affected by high blood pressure, which is also the third leading cause of illness and a significant risk factor for death. Compared to non-working women, employed women had a higher prevalence of hypertension. This might be attributed to various factors such as job-related stress, lack of relaxation, and lack of physical activity. Method: Quantitative approach was adopted. To investigate the related determinants of …
Published in International Journal of Women's Health Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 09–14 Read article
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Identification of Brain Stroke Using Artificial Intelligence
Abstract: Globally, strokes are the primary cause of disability and mortality. Recently, machine learning (ML) and deep learning (DL) have been employed by artificial intelligence algorithms as effective stroke diagnosing techniques. These days, machine learning and data mining technologies are used in the construction of the main models. We have used five machine learning algorithms to determine if a stroke has occurred or is likely to occur based on a patient’s …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Genetic Variability and Statistical Methods: Key Insights for Computational Genetics Research
Abstract: Genetic variability, defined as the differences in DNA sequences among individuals, serves as the foundation of evolutionary biology and plays a pivotal role in species’ adaptability, resilience, and overall survival. Advances in genomic technologies, particularly high-throughput sequencing, have enabled unprecedented exploration of genetic diversity, fostering the growth of computational genetics. This interdisciplinary field combines statistical methods and computational tools to analyze genetic data, identify patterns, and link phenotypes to genotypes. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 19–23 Read article
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Pharmacokinetics of Levothyroxine and Factors Influencing Its Therapeutic Efficacy in Hypothyroidism: A Comprehensive Review
Abstract: Levothyroxine (LT4) remains the standard therapy for hypothyroidism due to its effectiveness in restoring normal thyroid hormone levels and improving physiological functions. However, its pharmacokinetic profile exhibits considerable variability, which may influence therapeutic outcomes in clinical practice. This review aims to comprehensively evaluate the pharmacokinetics of levothyroxine, including its absorption, distribution, metabolism, and elimination, along with factors affecting its therapeutic efficacy. A structured literature search was conducted using electronic databases, …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 2, 2026 · pp. 27–33 Read article
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E-Skin: A Revolutionized Technology
Abstract: E-skin is not just a futuristic concept; it is a rapidly maturing technology with the potential to revolutionize how we interact with the world around us. While challenges remain, the advancements in materials science and sensor technology are paving the way for a future where e-skin is an integral part of our daily lives. From enhancing healthcare and empowering robots to transforming consumer electronics and virtual reality, e-skin holds the …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 1, 2025 · pp. 01–11 Read article
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Prevalence of Sexual Violence and Its Associated Factors Among Female Night Time Students of Junior And Secondary Schools in Mekelle City, Northern Ethiopia, 2013
Abstract: Sexual violence refers to any sexual act directed against a person’s sexuality by any person regardless of their relationship to the victim. Sexual violence is prevalent and is a major public health and human rights problem worldwide. The problem is not different from this in Ethiopia. However, lack of data has hindered full understanding and development of appropriate interventions. The objective of the study was to assess the prevalence of …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 4, Issue 2, 2015 · pp. 6–20 Read article
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An Experimental Study to Assess the Effectiveness of Valsalva Maneuver Prior to Intravenous Cannulation on Pain Perception among Patients Undergoing Venous Cannulation at HAHC Hospital in Delhi
Abstract: An experimental study was done to assess the effectiveness of valsalva maneuver prior to IV cannulation on pain perception among patients undergoing venous cannulation at HAHC hospital in Delhi. The objectives of the study were to assess the level of pain during IV cannulation among the experimental group, to assess the level of pain during IV cannulation among the control group, to compare the level of pain during IV cannulation …
Published in Research and Reviews : Journal of Surgery · Vol. 5, Issue 2, 2016 · pp. 1–6 Read article
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Interval Laparoscopic Appendectomy: An Observational Study from a Tertiary Care Centre of a Developing Nation
Abstract: Background: Laparoscopic surgery requires an elaborate console and sophisticated laparoscopic instruments such as endoscopic stapler, endoscopic clip, Ligasure, and Harmonic scalpel which attribute to higher cost of surgery. The aim of this prospective observational study was to evaluate the safety profile and outcome of Laparoscopic Appendectomy using basic laparoscopic instruments and low-cost suture materials in a tertiary care hospital of a developing nation. Materials and Methods: This was an observational …
Published in Research and Reviews : Journal of Surgery · Vol. 11, Issue 1, 2022 · pp. 13–18 Read article
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Personalized Nutrition and Exercise: Pioneering the Path to Precision Medicine
Abstract: Preventive healthcare is about to undergo a major shift thanks to the personalised exercise and nutrition paradigm, which is based on precision medicine concepts. In order to create tailored recommendations for improving health outcomes and preventing chronic diseases, this article explores the integration of genetic profiling, metabolic evaluation, and lifestyle factors. A person's response to food and exercise depends heavily on genetic and metabolic variances, which emphasises the need of …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 2, 2024 · pp. 42–46 Read article
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An Analytical Review of Machine Learning Methodologies
Abstract: Machine Learning (ML) is a dynamic and rapidly developing area of computer science that enables the system to learn from data and improve its performance without clear programs. Rooted in statistical theory and computer algorithms, ML has become a major technology that progresses in artificial intelligence. It strengthens the detection of the recommendations and speech for extensive applications from autonomous vehicles and medical diagnoses. This paper has reviewed the basics …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 13–21 Read article
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Research Works carried out on Ardhavabhedaka (Migraine) in the Department of Shalakyatantra, Post Graduate Teaching and Research in Ayurveda, Jamnagar
Abstract: Ardhavabhedaka is a Tridoshaja disease; clinically, it is a Rakta/Pitta dominant disease. Ardhavabhedaka- hemicranial headache is a psychosomatic disorder: later replaced by migraine a Greek word "half of the head". Present study is aimed to highlight the effective role of Ayurvedic medicines, i.e. Laghu Sutashekhara Rasa, Sutashekhara Rasa, Brihat Dashmoola Taila, Brihat Jeevakadya Taila and Go-ghrita Nasya. Till date, total three clinical researches have been carried out in the subject …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 5, Issue 3, 2016 · pp. 36–40 Read article
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Unlocking Microbial Potential: Innovations in Natural Product Biosynthesis and Therapeutic Applications
Abstract: MNPs play a pivotal role in diverse fields, spanning medicine, agriculture, and industry. This review paper synthesizes insights from various discussions on microbial natural products, encompassing their sources, bioactive properties, and applications. We explore microbial diversity contributing to natural product synthesis, emphasizing bacteria and fungi as prolific producers. The methods for isolating and characterizing these compounds underscore the interdisciplinary nature of microbial natural product research utilizing various analytical techniques contributing …
Published in International Journal of Fungi · Vol. 2, Issue 1, 2025 · pp. 18–38 Read article
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U-Net Based Approach for Automated Brain Tumor Classification
Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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Development of Cost-Effective Nanocarriers for Targeted Drug Delivery in Cancer Therapy in India
Abstract: The growing challenge of cancer in India demands the development of novel treatment approaches that are efficient and less expensive in alleviating disparities related to healthcare access and optimizing outcomes. Among the possible options, the drug delivery systems utilizing nanocarriers have been developed and they provide greater therapeutic targeting, reduced systemic toxicity, and decreased treatment costs over time. In this research, we assess the degrees of awareness, affordability, and acceptability …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 3, 2025 · pp. 1–7 Read article
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Effect of Unani Pharmacopeial Formulation Damavi on Iron Profile in Cases of Anaemia
Abstract: Anaemia is decrease in red blood cells or haemoglobin in blood; its frequency is around 2.36 billion i.e. 33% in 2015. Important symptoms associated include paleness of skin, weakness, shortness of breath, poor ability to exercise, etc. Many Unani formulations are used for treating anaemia but in this study, Tab. Damavi was used to see its effect on iron profile. This study was carried out at Regional Research Institute of …
Published in Research and Reviews : A Journal of Immunology · Vol. 12, Issue 1, 2022 · pp. 9–15 Read article
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The Impact of Artificial Intelligence on the Sales and Marketing of Pharmaceutical Products
Abstract: The rapid development of computing and technology has permeated all branches of science, with artificial intelligence (AI) emerging as a pivotal field in computer science. AI has significantly influenced disciplines ranging from basic engineering to pharmaceuticals. In healthcare and medicinal chemistry, AI applications have become indispensable. Traditional drug discovery approaches are gradually being overtaken by computer-aided drug design. In recent years, artificial intelligence (AI) and machine learning (ML) have become …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 · pp. 10–18 Read article
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The Heat of Competition: Assessing Climate Vulnerabilities and Adaptive Governance in Endurance, Winter, and Youth Sports
Abstract: Background: Climate change is fundamentally reshaping the environmental parameters of global sport, posing unprecedented risks to athlete health, safety, and performance. As rising temperatures, frequent extreme heat events, and deteriorating air quality become the new normal, athletic environments from community fields to elite international arenas face an existential threat. Purpose: This study provides an interdisciplinary synthesis of the multifaceted impacts of climate change on athletes, integrating evidence from sports medicine, …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 9–17 Read article
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Computational Screening of Vitex negundo Compounds for Potential Arthritis Therapies in India
Abstract: Objective: Arthritis is a pervasive medical condition that manifests as inflammation and discomfort within the joints. As of September 2021, arthritis has affected an estimated 180 million people in India, making it a substantial public health concern with a considerable impact on individuals' quality of life and healthcare systems. Therefore, using molecular docking, drug-likeness prediction, and ADME analysis, an effort was made to identify natural compounds from Vitex negundo, which …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 1, 2024 · pp. 01–18 Read article
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CNN-Based Wound Segmentation: A Review of Models and Performance Evaluation
Abstract: Deep learning, particularly convolutional neural networks (CNNs), has altered medical image processing by automating and precisely segmenting complex medical pictures. Wound segmentation, a critical application in automated wound assessment, is essential for wound size estimation, classification, and healing progress monitoring. This study presents a comprehensive review of CNN-based wound segmentation models, focusing on their architectures, methodologies, and performance on diverse datasets. Four deep learning models, including two U-Net variants (5-layer …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 33–46 Read article