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226 articles for “Integrative medicine”
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Nanomedicine in the Tumor Microenvironment: Physiological Modulation Through Tissue Engineering Approaches
Abstract: The integration of nanomedicine and tissue engineering offers transformative strategies for cancer therapy by directly modulating the physiological processes within the tumor microenvironment (TME). This review emphasizes recent advances in nanomedicine that enable precise drug delivery, controlled release, and real-time monitoring of key physiological parameters influencing tumor progression, angiogenesis, and immune evasion. Tissue-engineered 3D tumor models provide physiologically relevant platforms that better mimic in vivo conditions than traditional 2D cultures, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 1, 2026 · pp. 19–31 Read article
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Integrating Ayurveda in Infertility Management: A Case Study on Fimbrial Blockage
Abstract: Infertility significantly impacts a woman’s psychological and physical health, as well as that of her family. Fallopian tube blockage is one of the leading causes of female infertility, accounting for a substantial number of cases globally. Conventional medical approaches, including in vitro fertilization (IVF) and surgical procedures, often present barriers due to their high cost, invasive nature, and limited accessibility. Additionally, cultural, financial, and personal considerations can further restrict their …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 12, Issue 3, 2025 · pp. 12–19 Read article
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Needles of Wellness: Exploring the Transformative Benefits of Acupuncture
Abstract: Acupuncture, rooted in traditional Chinese medicine, has expanded beyond treating physical pain to playing a significant role in mental wellness. The term “Needles of Wellness” captures its dual benefits in pain relief and emotional health. While effective for conditions, like osteoarthritis and migraines, recent studies show its growing use in managing anxiety, depression, insomnia, and PTSD. Stimulating specific body points modulates the autonomic nervous system, reducing cortisol and enhancing endorphin …
Published in Research and Reviews: A Journal of Medicine · Vol. 15, Issue 2, 2025 · pp. 1–9 Read article
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Role of Carbohydrates and Herbal Plants in the Management of Diabetes Mellitus
Abstract: This extensive review explores the intricate relationship between carbohydrates and diabetes mellitus, integrating historical perspectives, biochemical foundations, and modern therapeutic approaches. The article delves into the chemistry of carbohydrates, elucidating their structural diversity and metabolic significance in relation to diabetes pathophysiology. It traces the evolution of diabetes, understanding from ancient civilizations to contemporary molecular insights, highlighting pivotal discoveries such as insulin’s identification. They critically examined various forms of diabetes, including …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 1, 2025 · pp. 34–60 Read article
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Reinventing Drug Delivery Through Cutting-Edge Nanotechnology
Abstract: Nanotechnology has emerged as a revolutionary platform in the field of drug delivery, offering novel strategies for the precise, efficient, and controlled delivery of therapeutic agents. The integration of nanocarriers, such as liposomes, polymeric nanoparticles, dendrimers, micelles, and inorganic nanoparticles, has significantly enhanced drug solubility, stability, bioavailability, and targeted delivery to specific tissues or cells. Targeted drug delivery systems based on nanotechnology minimize off-target effects, reduce systemic toxicity, and improve …
Published in Trends in Drug Delivery · Vol. 12, Issue 3, 2025 · pp. 44–61 Read article
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GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Enhancing the User Experience of Asthma Inhalers: A Redesign Approach
Abstract: Asthma is a widespread chronic respiratory condition impacting millions globally, presenting significant challenges in its management and treatment. While conventional inhalers effectively administer medication, they often encounter usability issues, hindering patient adherence and treatment outcomes. This abstract delineates the development and potential impact of a redesigned asthma inhaler aimed at addressing these challenges. Incorporating human-centered design principles, the revamped inhaler prioritizes usability, portability, and effectiveness to enhance the overall management …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 2, 2023 · pp. 32–36 Read article
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Phytochemical and Nutritional Aspects of Wild Edible Plants from Shivalik Hills of Himachal Pradesh: A Review
Abstract: The Shivalik Hills of Himachal Pradesh, a region known for its rich biodiversity, is home to a wide variety of wild edible plants (WEPs) that have long been integral to the diet and health practices of local tribal communities. These plants have been prized for generations not just for their culinary applications but also for their important nutritional and therapeutic qualities. The current study delves into the phytochemical and nutritional …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 3, 2024 · pp. 24–32 Read article
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Bridging Traditional Ayurvedic Pedagogy and Competency-Based Education: A Contemporary Perspective
Abstract: Mentoring plays a pivotal part in education. It has deep roots in both the traditional practitioner- Shishya Parampara of Ayurveda and ultramodern faculty- grounded medical education. The National Medical Commission and the National Commission for Indian System of Medicine have stated that structured mentorship programs are essential to guide scholars from newcomers to interpreters. This composition looks at how these traditions connect. It explains the purpose and limits of mentoring. …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 15, Issue 2, 2026 Read article
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Modernizing Pharmacovigilance: Leveraging AI, Automation, and Real-World Data for Drug Safety
Abstract: Pharmacovigilance, or PV, is “the pharmacological science relating to the detection, assessment, understanding, and prevention of adverse effects, mainly long term and short-term adverse effects of medicines.” PV’s specific objectives are to increase patient care and safety when using medications and all medical and paramedical therapies; assist in evaluating the benefits, drawbacks, efficacy, and risks of medications, ensuring their safe, prudent, and more effective use; and promote clinical training, education, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 12–21 Read article
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Necrotizing Enterocolitis (NEC): A Devastating Neonatal Gastrointestinal Disorder
Abstract: Necrotizing enterocolitis (NEC) represents a formidable challenge in neonatal medicine, particularly afflicting premature infants with its characteristic features of severe intestinal inflammation and necrosis. Despite advancements in neonatal care, NEC continues to exact a heavy toll, standing as a prominent cause of morbidity and mortality in this vulnerable population. Its multifaceted etiology, encompassing prematurity, enteral feeding practices, alterations in microbial colonization, and episodes of intestinal ischemia, underscores the complexity of …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 78–83 Read article
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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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Bacteriophages- A New Frontier in Medicine
Abstract: Bacteriophages, or phages, are viruses that specifically target and infect bacteria, offering an innovative alternative to traditional antibiotic treatments, especially in the face of rising antibiotic resistance. The resurgence of phage therapy has been driven by the increasing prevalence of multidrug-resistant bacterial strains and the slowdown in the development of new antibiotics. Phages, unlike antibiotics, target specific bacterial strains, reducing the impact on the natural microbiota and potentially offering a …
Published in International Journal of Virus Studies · Vol. 1, Issue 2, 2024 · pp. 31–35 Read article
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Experimental Analysis of Axially Compressed Precast Concrete Pressure Pipes Filled with Concrete
Abstract: Humanity has always been at the mercy of natural disasters, which frequently result in widespread devastation and displacement. However, scientific advancements, technological innovations, and extensive research have significantly mitigated the loss of life, property, and essential resources. One of the critical challenges in the aftermath of disasters is providing adequate and timely shelter, food, and medicine to the affected populations, often under constrained resources and logistical difficulties. In response to …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 28–37 Read article
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Ethical Consideration in the Use of Artificial Intelligence in Medicine and Healthcare
Abstract: Artificial Intelligence (AI) in medicine and healthcare offers tremendous potential for improving patient care, increasing the precision of diagnoses, and increasing operational efficiency. To ensure responsible application, however, the swift uptake of AI technologies also brings up important ethical concerns that need to be addressed. This article explores various ethical challenges in healthcare AI, including concerns about algorithmic bias, data privacy, informed consent, and accountability. Patients must be aware of …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 23–28 Read article
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Revolutionizing Drug Delivery: Recent Advances in Pharmaceutical Dosage Forms
Abstract: Recent advances in pharmaceutical dosage forms revolutionize drug delivery, prioritizing targeted therapy and patient well-being. Enhanced drug carriers address complex medical challenges, from high-grade gliomas to ocular drug delivery, maximizing therapeutic efficacy while minimizing adverse effects. Traditional dosage forms like tablets and capsules undergo meticulous formulation and manufacturing processes, integrating Quality by Design principles for consistent product quality. Liquid formulations encounter stability challenges, necessitating rigorous stability testing and pH monitoring. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 77–89 Read article
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An Innovative AI-Integrated Approach for Identifying the Tensile Robustness of Polymeric Materials
Abstract: Polymeric materials have so many applications and character similar to flexibility, robustness and lightweight nature they are essential to a large variety of industries. Though, it is difficult to establish their tensile robustness appropriately, particularly in a variety of environmental situation. Provide a recommended Artificial Intelligence (AI)-integrated method to decide the issues of rapidly ascertaining the tensile robustness of the polymeric material. Using machine learning (ML), this study, predicted and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 90–97 Read article
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Phosphorescence of Carbon Nanodots – The Phenomena and the Applications
Abstract: Photoluminescence has emerged as a fundamental phenomenon in modern biomedical science, enabling advanced diagnostic, therapeutic, and theranostic applications through light–matter interactions at the nanoscale. The ability of photoluminescent materials to absorb electromagnetic radiation and emit light at distinct wavelengths has been widely exploited in bioimaging, biosensing, drug delivery tracking, and photodynamic therapy. Among various photoluminescent nanomaterials, carbon nanodots have attracted significant attention due to their strong emission intensity, tunable fluorescence, …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 1, 2026 · pp. 01–05 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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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