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550 articles for “medication development”
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In Silico Assessment of Demethoxycurcumin: Molecular Docking and Computational Insights into its various therapeutic Potential
Abstract: Natural compounds are increasingly explored for their therapeutic potential in medical research. Here, we focused on demethoxycurcumin (DMC), a polyphenolic bioactive compound extracted from Curcuma longa, commonly found in turmeric. DMC, with a chemical formula of C20H18O5 and a molecular weight of 340 g/mol, possesses two aromatic ring systems, each featuring a β-diketone moiety connected by a seven-carbon chain. This unique structure allows DMC to engage in tautomerism, which is …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 1, 2024 · pp. 9–15 Read article
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Development of Sodium Alginate Beads of Telmisartan Using Emulsion Gelation Method: Formulation and In-Vitro Characterization
Abstract: Introduction: The antihypertensive medication Telmisartan (TEL) is a member of BCS class II, which is distinguished by limited oral rate and extent and water solubility. By localizing the medication release in the stomach, gastro-retentive floating bead devices may be able to address the issues related to partial absorption and the low solubility of TEL. The preparation of TEL floating alginate beads was the aim of this investigation. The current work …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 3, 2024 · pp. 13–21 Read article
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Machine Learning-Based Disease Prediction: A Comparative Analysis for Diabetes, Brain Tumor, and Parkinson's Disease
Abstract: This paper presents a web-based disease prediction system that integrates machine learning and deep learning techniques to assist in the early detection of Parkinson’s Disease, Diabetes, and Brain Tumors. By utilizing clinical data and MRI images, the platform provides rapid and interpretable predictions to support proactive health management. Logistic Regression models are applied to classify structured datasets for predicting Parkinson’s disease and Diabetes, making use of their effectiveness in binary …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 44–54 Read article
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Exploring Biomedical Innovations in the Formulation and Assessment of Medicated Hard Candy Lozenges Containing Metoclopramide Hydrochloride
Abstract: The objective of this study was to formulate and evaluate metoclopramide hydrochloride medicated lozenges for antiemetic action through buccal absorption by incorporating a polymer. All formulations were developed and assessed for in-vitro drug release, physical appearance, weight variation, thickness, hardness, moisture content, mouth-dissolving time, and drug content. The prepared lozenges exhibited uniformity in weight and thickness. The hardness of all formulations ranged between 7.3–15.50 kg/cm², falling within standard limits. The …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 2, 2024 · pp. 50–62 Read article
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Exploring the Traditional and Modern Uses of Calotropis gigantea: A Review
Abstract: Calotropis gigantea, often known as C. gigantea or Sweta Arka, is indigenous to Bangladesh, India, and Thailand in South and Southeast Asia. It has therapeutic purposes. This plant features clusters of white or lavender waxy blossoms, an oval-shaped, light green leaf, and a milky stem. The beneficial properties of C. gigantea, which is commonly used in traditional medicine, especially in India, have been validated by recent scientific findings. Among their …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 1, 2025 · pp. 33–41 Read article
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A Comprehensive Review of Machine Learning and Explainable AI Techniques for Disease Prediction Systems
Abstract: Large amounts of diverse medical data have been produced because of the quick development of digital healthcare systems, offering substantial chances to use machine learning methods for clinical decision support and illness prediction. By identifying intricate patterns in clinical data, machine learning-based models have shown great promise in early disease detection, risk assessment, and personalised healthcare. However, issues with transparency, interpretability, and reliability have been brought up by the growing …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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Innovations in Targeted Drug Discovery for Personalized Medicine
Abstract: Personalized medicine is revolutionizing modern healthcare by custoizing treatment plans to match an individual’s genetic makeup, protein expression, and metabomlic characteristics. Also referred to as precision medicine, this approach seeks to improve therapeutic outcomes, reduce adverse effects, and make efficient use of healthcare resources. The incorporation of various omics technologies—including genomics, proteomics, transcriptomics, metabolomics, and epigenomics—has greatly advanced our ability to understand disease biology and molecular variations specific to each …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 3, 2025 · pp. 19–41 Read article
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Pharmacoeconomic Perspectives on Clinical Pharmacy Practice: Enhancing Cost Efficiency in Healthcare
Abstract: Pharmacoeconomics is an essential aspect of clinical pharmacy that determines the cost-effectiveness of drug treatment, which helps healthcare providers to allocate resources fully. This review discusses some of the notable pharmacoeconomic evaluation techniques, including Cost-Effectiveness Analysis (CEA), Cost-Utility Analysis (CUA), and Cost-Benefit Analysis (CBA), and their use in clinical decision-making. The paper also brings out the importance of clinical pharmacy intervention, such as Medication Therapy Management (MTM), patient counselling, and …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 85–91 Read article
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Immunological Mechanisms Underlying Autoimmune Disorders: Recent Advances and Therapeutic Implications
Abstract: A diverse range of illnesses known as autoimmune disorders are typified by dysregulated immune responses against self-antigens, which result in tissue damage and persistent inflammation. Understanding the genetic, epigenetic, and environmental variables that contribute to autoimmune pathogenesis has advanced significantly during the last ten years. Current disease models have been transformed by new understandings of immunological tolerance mechanisms such as the functions of regulatory T cells, cytokine networks, and the …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 1, 2026 · pp. 21–25 Read article
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Comprehensive Review on Pulsatile Drug Delivery System: Hybrid Approaches
Abstract: Pulsatile drug delivery systems (PDDS) represent a groundbreaking approach in pharmaceutical technology, allowing for controlled, targeted, and programmable drug release that aligns with circadian rhythms or caters to time-sensitive therapeutic requirements. Although traditional pulsatile systems have shown considerable clinical promise, their effectiveness is frequently compromised by physiological variations such as gastrointestinal transit times, changes in pH, and enzymatic activity. To tackle these obstacles, hybrid PDDS have been developed by combining …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 18–31 Read article
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Herbal Medicines and Complementary Therapies: Their Role, Types and Applications
Abstract: Medicinal plants are used in herbal medicine to treat and prevent illnesses. This includes the use of standardized and titrated botanical extracts in addition to common and traditional medicines from different cultures. The safety of a treatment may be suggested by its long history and deep cultural roots in traditional medical systems, but this does not always imply that it is effective. This is especially important in herbal medicine, since …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 1, 2025 · pp. 40–53 Read article
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The Contribution of A. I. in Pharmaceutical Software
Abstract: The integration of Artificial Intelligence (AI) in pharmaceutical software has significantly transformed drug development, regulatory processes, and clinical management. AI-powered tools are revolutionizing data analysis, predictive modeling, and decision-making, enhancing the efficiency and accuracy of drug discovery and development. This article explores the multifaceted contributions of AI to pharmaceutical software, including its applications in drug screening, personalized medicine, clinical trial optimization, and regulatory compliance. Additionally, we examine how AI is …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 1–10 Read article
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Barg-e-Tulsi (Ocimum sanctum Linn.) in Unani Medicine: Bridging Classical Therapeutics with Contemporary Pharmacological Evidence
Abstract: In the Unani System of Medicine (USM), Barg-e-Tulsi (Ocimum sanctum Linn.), commonly known as Tulsi or Holy Basil, is a highly valued medicinal herb that has been extensively used for centuries in the prevention and treatment of various ailments. It occupies an important place in traditional Unani therapeutics due to its broad spectrum of medicinal properties and its effectiveness in managing respiratory, gastrointestinal, neurological, and infectious disorders. Classical Unani scholars …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2026 Read article
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Formulation and development of Lamivudine Nanoemulsion by using Emulsifying Polymers and It’s Evaluation
Abstract: Nanoemulsion is a novel approach to medicine delivery that helps to increase the bioavailability of drugs that aren’t particularly soluble in water. In this research work, nanoemulsion of Lamivudine was formulated by using polymers such as SPAN 80, TWEEN 80 and Whey protein concentrate with the help of Ultrasonication technology. The formulation was optimized. It was evaluated by assessing pH, viscosity, turbidity, in vitro franz diffusion study, particle size distribution, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 22–35 Read article
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Potential Risk and Benefits in Developing New Nanobot Technologies and Future Posibilities
Abstract: The development of new nanobot technologies has the potential to revolutionize various fields, including medicine, manufacturing, and environmental science. However, as with any emerging technology, there are potential risks and benefits associated with nanobots. This abstract explores the potential risks, including toxicity, unintended consequences, and environmental impact, as well as the potential benefits, such as targeted drug delivery, diagnostic imaging, and tissue engineering. We also discuss the future possibilities of …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 1, 2025 · pp. 87–93 Read article
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Iron Deficiency Anaemia_A Evidence-Based Literature Review
Abstract: Iron deficiency anaemia represents a medical condition characterised by a reduction in the concentration of haemoglobin in the bloodstream below a defined level, according to the World Health Organization. The condition presents itself in two forms: functional IDA and absolute IDA. The former is characterized by normal or elevated total body iron stores, but insufficient iron supply to the bone marrow. At the same time, the latter occurs when total …
Published in Research & Reviews : Journal of Herbal Science · Vol. 13, Issue 1, 2024 · pp. 17–28 Read article
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The Practical Use of Cholesteric Liquid Crystal Film for Development of New Technologies
Abstract: The use of cholesteric liquid crystal films, using the remarkable property of cholesteric liquid crystals to change their color at the temperature changes, is well known for measuring temperature, in medicine, in jewelry and so on. The article presents the practical use of cholesteric liquid crystal films in the developed musical color device, which “animates” the pattern with a multi-colored color in accordance with the frequency spectrum of the signal …
Published in Journal of Thin Films, Coating Science Technology & Application Read article
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Computer Aided Drug Designing for Targeted Drug Delivery Systems
Abstract: The discovery and development of a contemporary sedate is widely acknowledged as an extremely difficult task that requires significant resources and effort. Therefore, computer-aided medication design techniques are widely utilized today to increase the productivity of the drug discovery and development process. Among structure-based and ligand-based drug design approaches, both recognized for their efficiency in drug discovery and development, various CADD (Computer-Aided Drug Design) techniques are evaluated based on specific …
Published in Trends in Drug Delivery · Vol. 11, Issue 2, 2024 · pp. 34–41 Read article
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Incorporating Indigenous Knowledge Systems into Environmental Education for Sustainable Development
Abstract: Indian history is extensive and includes everything from the invention of the zero to the creation of novel medical treatments or technological advancements. The traditional Indian knowledge system has continuously demonstrated its sustainability and commitment to advancing the welfare of all societal members. Indigenous knowledge has gained importance in science and technology in recent years. But it also has a big impact on environmental education. Global suffering is a result …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
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Advancing Healthcare Systems: A Machine Learning Approach to Multi-Disease Prediction
Abstract: The integration of machine learning algorithms in healthcare has revolutionized the way we approach disease prediction and diagnosis. An attempt to employ machine learning techniques to forecast numerous diseases is presented in this study. A diverse dataset containing patient records, medical history, and relevant features for various diseases was used to develop predictive models. Feature selection and normalization were among the preprocessing methods used to clean and prepare the data. …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 1, 2025 · pp. 1–6 Read article