Search
547 articles for “medical research”
-
Single Case Study on the Effectiveness of Macquarie Injury Management Group (MIMG) Protocol on the Subject of Primary Osteoarthritis of Knee
Abstract: Aim: To check the effectiveness of Macquarie Injury Management Group (MIMG) protocol in subject of primary osteoarthritis of knee. Purpose: Manual therapy has been shown to be an effective treatment for knee osteoarthritis, but it is necessary to evaluate the effectiveness of the MIMG manual therapy technique. However, there is a dearth of literature on the effectiveness of Macquarie injury management group (MIMG) protocol in subject of osteoarthritis of knee. …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 7–12 Read article
-
Biohybrid Machines: Integrating Organic Systems with Robotics for Enhanced Mobility and Function
Abstract: Biohybrid machines are an innovative frontier at the intersection of biological systems and robotics. This research field explores the integration of living organisms with machines, combining the advantageous characteristics of both synthetic materials and biological components. Through the integration of organic cells, tissues, and even entire organisms with robotics, biohybrid machines possess unique capabilities such as self-healing, adaptability, and energy efficiency, making them more suitable for tasks that require flexibility …
Published in Trends in Machine design · Vol. 12, Issue 1, 2025 · pp. 30–37 Read article
-
Pharmacokinetic and Pharmacodynamic Studies of Black Seed Derived Compound
Abstract: Black seed (Nigella sativa) has been celebrated for centuries for its remarkable therapeutic properties. Among its bioactive compounds, thymoquinone (TQ) has gained significant attention in pharmacological research due to its diverse health benefits. This review delves into the pharmacokinetic (PK) and pharmacodynamic (PD) properties of black seed compounds, with a particular emphasis on TQ, the most extensively studied component. The PK of TQ includes the parameters of absorption, distribution, metabolism, …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 1, 2025 · pp. 36–43 Read article
-
Turmeric as a Key Ingredient in Cosmeceuticals: New Scientific Evidence
Abstract: Turmeric (Curcuma longa), particularly its active compound curcumin, is gaining recognition in cosmetics and medicine for its therapeutic properties. Its antioxidant, anti-inflammatory, and antimicrobial effects make it a popular skincare ingredient, helping reduce inflammation, brighten skin, and fight aging. In addition to treating dandruff and promoting hair growth, Turmeric is also good for scalp health. Curcumin increases the body's antioxidant defenses. Inhibits inflammation and anti-oxidants. Curcumin, a powerful compound found …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 1, 2025 · pp. 28–36 Read article
-
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
-
Molecular Dynamics and Therapeutic Architectures of Cannabinoid Receptors: A Comprehensive Review
Abstract: Expanding on these foundations, recent structural biology studies using cryo-electron microscopy have provided high-resolution insights into the conformational dynamics of CB₁ and CB₂ receptors. These findings have enabled a more precise understanding of ligand–receptor interactions, particularly how agonists, antagonists, and reverse agonists stabilize distinct receptor states. Such knowledge is critical for rational drug design, allowing researchers to selectively modulate downstream signaling pathways. For instance, CB₁ receptors primarily couple to Gi/o …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 36–40 Read article
-
A Descriptive Study to Assess Knowledge Regarding POSH Act Among Staff of Chirayu Medical College and Hospital, Bhopal, Madhya Pradesh
Abstract: Introduction: Sexual harassment is a significant health issue with severe effects on employees’ self-respect, physical mental health, and dignity. This descriptive study aimed to assess knowledge scores regarding the POSH (Prevention of Sexual Harassment) Act among staff of Chirayu Medical College and Hospital. A convenience sampling method was employed, and data were gathered using a self-designed knowledge questionnaire. The findings indicated that 41% of the staff had poor knowledge, while …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 1–10 Read article
-
A Brief Review on Herbal Excipients
Abstract: Natural or herbal excipients are significantly more advantageous than their synthetic equivalents because they are readily available, non-toxic, and less expensive. The pharmaceutical industries are becoming more interested in using these herbal excipients – mainly polymers of natural origin – in formulation development because of growing knowledge of them. The purpose of this study is to provide light on the possibility of using natural excipients, which are biocompatible and able …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 12, Issue 2, 2025 · pp. 5–14 Read article
-
Optimizing Heart Disease Prediction: Comparative Analysis of Machine Learning Algorithm for Early Detection
Abstract: The expanding realm of data analysis holds considerable importance in healthcare, particularly in the medical sector where forecasting heart disease is considered a complex endeavor. Early prediction of serious health conditions can be the determining factor between survival and fatality, with heart disease being one such critical health issue. Over the past decade, the main reason for death has been heart disease. Heart disorders come in many different forms, and …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
-
Emotional Abilities Among Undergraduate Students of Health Care Professional and Non-professional Courses
Abstract: Emotional Intelligence (EI) also refers to the ability of an individual to perceive, understand, and manage own emotions and others’ emotions. Research reported that individuals with higher EI have better social skills, management skills and effective communication. Education is the most impacting factor in children as they grow and mature by learning new things from the surroundings and academics which influences EI of an individual. Studies on education and emotional …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 1, 2024 · pp. 19–23 Read article
-
“Review Article on Tridax Procurmbens Herbal Antibacterial Cream”
Abstract: Abstract Tridax procumbens (L.), also referred to as coat buttons or tridax daisy, is a common plant in the Asteraceae family that is well-known for its exceptional pharmacological and therapeutic properties. This plant has long been utilized as an anticoagulant, antifungal, insect repellent, wound healer, and hepatoprotective agent in Indian Ayurveda. With a focus on its medicinal and formulation features, the current study offers a thorough summary of its botanical …
Published in Recent Trends in Cosmetics · Vol. 3, Issue 1, 2026 · pp. 21–29 Read article
-
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
-
Machine Learning Approaches in Breast Cancer Diagnosis: Current Trends and Future Perspectives
Abstract: Since cancer is still one of the world's top causes of death, precise and effective detection techniques must be developed. Machine learning (ML) approaches have shown promise in recent years for enhancing cancer prognosis and detection. This paper presents a comprehensive review of the application of ML in cancer detection, focusing on various modalities including medical imaging, genomic data, and clinical records. We highlight the challenges associated with traditional cancer …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 14–20 Read article
-
Cutting-edge Deep Learning Methods for Predicting and Detecting Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) remain a major global health issue, highlighting the need for improved early detection and risk assessment methods. This research investigates the efficacy of both deep learning and traditional machine learning methods in forecasting cardiovascular diseases (CVDs). We evaluate a variety of models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Multilayer Perceptrons (MLPs), Long Short-Term Memory (LSTM) networks, as well as Logistic Regression (LR), Decision Trees …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 36–42 Read article
-
Role of Artificial Intelligence in Structural Health Monitoring-A Brief Evaluation
Abstract: Artificial intelligence (AI) refers to the capacity of a machine or a computer to ‘think’ or reason in the way a human would, utilizing experience, learned facts, and flexible rules to solve problems that may not fit the standard outlines for a normal algorithm. From this follows the utilization of AI in various sectors, such as the information technology (IT) industry, media, healthcare and medicine, logistics, environmental sustainability, finance, business, …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 34–39 Read article
-
Comprehensive Evaluation of Quercetin from Bauhinia purpurea for Its Anti-Acne and Anti-Inflammatory Potential, Including Advances in Quercetin-Loaded Nanogel Formulation
Abstract: Acne vulgaris is among the most prevalent chronic inflammatory dermatoses in clinical dermatology, afflicting a substantial proportion of the global adolescent and adult population. Conventional pharmacotherapies — including topical retinoids, benzoyl peroxide, and systemic antibiotics — remain the therapeutic mainstay; however, their long-term utility is progressively undermined by adverse cutaneous reactions, systemic toxicity, and the rising prevalence of antibiotic-resistant Cutibacterium acnes strains. These limitations have intensified scientific interest in plant-derived …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 2, 2026 Read article
-
Nutraceuticals: Bridging Nutrition and Medicine for Future Wellness
Abstract: Nutraceuticals are items that can be classified as food or a component of food and provide medical or health benefits. This paper discusses the concept of nutraceuticals, their classification, and their role in promoting health and wellness. As of 2023, the worldwide nutraceuticals market is expected to be valued at approximately USD 317.22 billion, indicating a high rate of increase. Growth is projected to reach USD 626.02 billion by 2029 …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 2, 2024 · pp. 26–36 Read article
-
Sustainable Green Solvents: Ionic Liquid-Based Hydrogels
Abstract: Green solvents have been widely used in a wide range of applications, such as catalysis, separation sciences, energy storage and pharmaceutical applications. The main ingredient in the collection of the environmentally benign reagents is ionic liquids (ILs). Ionic liquid-based hydrogels are being used in the biological sciences and medicinal chemistry fields because of their excellent biocompatibility and biosafety features. The versatility of ionic liquids is great, as they can be …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1263–1274 Read article
-
Multimodal Disease Detection Using Deep Learning
Abstract: Artificial Intelligence (AI) is playing an increasingly pivotal role in modern healthcare, particularly in improving the speed and accuracy of disease detection. With the evolution of Machine Learning (ML), Deep Learning (DL), and high-performance computing, AI-based solutions are now capable of processing extensive medical datasets, ranging from patient records to diagnostic images, with remarkable efficiency. These systems offer immense potential for early intervention, improved clinical decision-making, and alleviating pressure on …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 129–139 Read article
-
Evaluation of Polysaccharide-Based Membranes for Transdermal Drug Delivery in Chronic Pain Management
Abstract: In order to improve treatment effectiveness and patient compliance, chronic pain management is still a major challenge in modern healthcare, requiring creative medication delivery methods. The potential of polysaccharide-based membranes for transdermal drug delivery is assessed in this work, with particular attention to chitosan, alginate, and hydroxypropyl methylcellulose (HPMC). Fourier-transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM) were two characterization techniques used to assess the membranes' physical and chemical …
Published in International Journal of Membranes · Vol. 1, Issue 2, 2024 · pp. 28–38 Read article