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856 articles for “Medical use”
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Exploring the Botanical and Pharmacological Significance of Aristolochia rotunda Linn (Zarawand Mudahraj): Traditional Uses, Habitat, and Bioactive Potential
Abstract: The plant Aristolochia rotunada Linn (Zarawand Mudahraj) is a member of the Aristolochiaceae family. Its rhizomes are the most valuable portion utilised in the pharmaceutical industry, mostly because of their abundance in bioactive compounds. The medicinal plant Aristolochia rotunda Linn exhibits a spectrum of pharmacological activities essential for combating hyper-uricaemia-induced inflammation. Its anti-inflammatory effects are mediated by inhibiting TNF-α, IL-1β, IL-8, and NF-κB p65 protein expression, crucial in synovial tissue. …
Published in Research & Reviews : Journal of Herbal Science · Vol. 13, Issue 2, 2024 · pp. 33–39 Read article
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Bacterial Spectral in UTI in a Hospital Environment
Abstract: Urinary tract infections (UTIs) represent a significant public health issue, primarily caused by a variety of pathogens such as Escherichia coli, Klebsiella pneumoniae, Proteus mirabilis, Enterococcus faecalis, and Staphylococcus saprophyticus. UTIs contribute substantially to illness and complications in individuals with pre-existing health conditions and account for a large portion of hospital visits globally. UTIs are usually self-limiting in people with no structural or functional problems, but they do tend to …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 1–11 Read article
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Pharmaceutical Syrup Formulation Enhancing Bioavaibility and Patient Compliance
Abstract: Pharmaceutical syrup formulations are crucial for drug delivery, especially in pediatric and geriatric populations. However, challenges, such as bioavailability, stability, and patient compliance due to factors, like taste and viscosity, must be addressed. Strategies to enhance bioavailability include solubility enhancers, nanoparticle systems, and advanced techniques like solid dispersions and emulsions. Palatability plays a critical role in patient compliance, with flavoring agents, sweeteners, and texture modifications improving acceptability. Innovations, like controlled-release …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 1, 2025 · pp. 1–6 Read article
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The Art of Drug Design and Process Chemistry
Abstract: The creation of safe and efficient medications depends heavily on the art of drug design and process chemistry. This multidisciplinary discipline designs and optimizes drug candidates for therapeutic uses by fusing the concepts of biology, chemistry, and engineering. Researchers can develop compounds with pharmacological activity by using logical drug design techniques if they have a thorough understanding of the molecular targets implicated in disease pathways. By making it easier to …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 1, 2025 · pp. 1–10 Read article
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Clinical Evaluation of Efficacy of a Polyherbal Unani Formulation (Mentioned in Makhzan-Ul-Ilaj) in the Management of Warm-e-Lauzatain-Haad (Acute Tonsillitis)
Abstract: Background: Warm-e-Lauzatain-Haad (Acute Tonsillitis) is an inflammatory condition of the palatine tonsils characterized by throat pain, fever, odynophagia and general discomfort. It is particularly common among adolescents and young adults and contributes substantially to outpatient visits and missed academic or workdays. In Unani medicine Warm-e-Lauzatain is described as a hot inflammatory swelling arising from deranged humors, exposure to irritants or descending catarrhal matter. Classical Unani texts including Makhzan-ul-Ilaj, advocate the …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 13–22 Read article
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Impact of Advanced Reinforcement Materials, Precise Plasticizer Utilization, and Thorough Processing Condition Optimization
Abstract: Material science is always changing, which has led to improvements in processing methods, plasticizers, and strengthening materials. These changes have led to new ideas in many fields. This abstract looks at how using advanced strengthening materials, exact plasticizer use, and thorough processing condition optimization can work together to make polymer-based materials perform better and have better qualities. When it comes to improving the dynamic qualities of plastics, reinforcement materials are …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 73–86 Read article
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Automobile Collision Detection System Using GSM and GPS
Abstract: The accelerometer detects changes in the vehicle’s axis and the GSM module sends an alert message to the phone indicating the location of the event. Advanced technology makes our daily life easier. Because every coin has two sides, technology has both strengths and weaknesses. The development of technology has increased the number of traffic accidents, resulting in numerous deaths. The poor medical facilities that exist in our country exacerbate the …
Published in International Journal of Manufacturing and Production Engineering · Vol. 1, Issue 1, 2023 · pp. 15–19 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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Applications of Nanomaterials in Soil Science and Agriculture: Enhancing Stability and Bioavailability through Nano-Encapsulation
Abstract: This research project focuses on the development and use of nanomaterials (NMs) for enhancing natural security in agricultural, feed, and food sectors. Protein-based and polysaccharide-based NMs, which self-assemble into micelle-like structures, have shown promise in improving the stability, bioavailability, and delivery of vital nutrients, agrochemicals, and medications through nano-encapsulation techniques. Nanomaterials such as modified nanoclays, including montmorillonite, have been employed in food packaging to enhance mechanical strength and create barriers …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 3, 2024 · pp. 23–28 Read article
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Rosemary: A Natural Way to Improve Brain Health and Cognitive Function
Abstract: Cognitive decline is a common consequence of aging, often leading to diminished quality of life. Although conventional drug treatments, such as anticholinesterase inhibitors, are available for managing cognitive decline, they are not always effective in older adults and may even induce adverse effects. As a result, there has been growing interest in natural alternatives, particularly traditional herbal medicines, for their potential cognitive-enhancing properties. Among these, Rosmarinus officinalis (Rosemary) has gained …
Published in International Journal of Brain Sciences · Vol. 2, Issue 1, 2025 · pp. 30–36 Read article
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Fuzzy C-Means Clustering for Effective Segmentation and Classification of Brain Tumors in MRI Scans
Abstract: The paper discusses the importance of detecting and classifying brain tumors via MRI for effective treatment. It proposes a framework utilizing the Fuzzy C-means clustering algorithm for segmentation, demonstrating improved performance through real dataset validation. The model is trained on a large, annotated MRI dataset to identify and classify different tumor types, enabling machine learning-based classification into benign and malignant tumors. The MATLAB-based solution automates brain tumor feature extraction, aiding …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 23–28 Read article
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Skin Cancer Detection System Based on Machine Learning for Recognition of Cancerous Images
Abstract: Skin cancer ranks among the most prevalent types of cancer globally and poses significant risks when left untreated. Skin cancer arises when abnormal cells proliferate uncontrollably in the skin. This uncontrolled growth can be triggered by genetic mutations, exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds, or various other factors. In this, the early detection of cancer plays a crucial role in treatment and …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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Integrating Network Pharmacology and Molecular Docking to Investigate Boerhavia diffusa for Pancreatic Cancer Treatment
Abstract: Objective: In this study, network pharmacology was applied to determine the therapeutic effects of the bioactive compounds of Boerhavia diffusa. Network pharmacology can unearth the underlying mechanisms between drugs and the disease targets and aids in the discovery of novel medications for complex conditions such as cancer. Methods: To predict the molecular mechanisms of action of Boerhavia diffusa in the treatment of was screened using the GeneCards database. The Venn …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 1, 2024 · pp. 29–49 Read article
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Frequency of Failed Spinal Anesthesia and Associated Factors in Cesarean Section at Mardan Medical Complex, Mardan, KP, Pakistan
Abstract: Objective: Spinal anesthesia is the preferred choice of anesthesia for parturients having cesarean sections. Despite the high percentage of success in providing acceptable surgical anesthesia, failure of spinal anesthesia has been reported. This study aims to determine the frequency and associated factors related to failed spinal anesthesia during cesarean sections in pregnant women. Methodology: This descriptive cross-sectional study included 149 pregnant women and was conducted at Mardan Medical Complex (MMC) …
Published in International Journal of Women's Health Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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Molecular Docking-Based Analysis of Rauvolfia serpentina Alkaloids Targeting HPV E1 and L1 Proteins for Antiviral Therapeutic Potential
Abstract: Human papillomavirus (HPV) is a major cause of cervical cancer and other epithelial cancers. E1 and L1 proteins are crucial to the virus's lifespan. E1 is a viral helicase that is needed for HPV DNA replication, and L1 is the main structural capsid protein that builds the virion and infects target cells. Going after these proteins is a good way to stop viruses from spreading. In this case, Rauvolfia serpentina, …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 17, Issue 1, 2026 · pp. 100–113 Read article
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Nanotechnology meet phytomedicine towards smarter drug delivery system.
Abstract: Using bioactive substances derived from plants, or phytomedicine, has long shown promise in treating a variety of illnesses with fewer adverse effects than synthetic medications. Nevertheless, a lot of phytochemicals have issues with inadequate targeting in vivo, low bioavailability, poor solubility, and chemical instability. By enabling encapsulation, controlled release, targeted delivery, and stimuli responsive behavior, nanotechnology provides effective tools to get around these restrictions. This review examines the intersection of …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 1, 2026 · pp. 46–53 Read article
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Heart Disease AI-based Prediction: A Comparative Analysis
Abstract: The present investigation looks at how well various machine learning algorithms predict cardiac disease. Since heart disease is one of the major causes of death worldwide, early detection and precise diagnosis are essential for managing and treating the condition. Our goal is to enhance diagnostic processes and improve patient outcomes by leveraging machine learning techniques. Six widely-used machine learning algorithms are evaluated in this research paper. These algorithms were selected …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 21–29 Read article
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Pelvic Floor Muscle Strengthening in Antenatal Period Among Primigravida Cases at Jorhat, Assam
Abstract: Aim: The study aimed to evaluate the effectiveness of pelvic floor muscle (PFM) strengthening exercises during the antenatal period among primigravida women in Jorhat, Assam, with a focus on improving pelvic floor muscle strength and its impact on pregnancy outcomes. Purpose: To assess whether pelvic floor muscle exercises (specifically Kegel exercises) can enhance PFM strength in pregnant women, using the Modified Oxford Grading Scale (MOS), and to compare these effects …
Published in International Journal of Midwifery Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 35–42 Read article
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The Role of Artificial Intelligence and Machine Learning in Redefining Global Healthcare Systems and Advancing Medical Innovation
Abstract: Health Services are being revolutionized with AI and ML through improved accuracy, efficiency and accessibility in the delivery of health care. With AI and ML, it is now possible for health care professionals to assess varying amounts of complex clinical data in a relatively short amount of time, therefore, creating opportunities for early detection of disease, increasing the odds of accurate diagnosis, and improving the ability to make informed clinical …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 14–19 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