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1680 articles for “BCS Class II/IV drugs”
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DEVELOPMENT OF POLYMERSOMES AS MACROMOLECULAR PLATFORMS FOR NANOMEDICINE
Abstract: The conventional method of drug delivery is plagued with instability, low targeting and low bioavailability. A solution to these shortcomings is the use of polymer Somes, artificial vesicles that are produced through self-assembly of amphiphilic block copolymer, and they are suggested as universal nanoscale carriers. They have stiff, tunable membranes (thickness = 2-50 nm) due to accurate control of polymer chemistry, chain length, and hydrophilic mass fraction (f), which allows …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Biodegradable Polymers Properties and Applications
Abstract: Polymers that can degrade into biologically compatible components under physiologic conditions present a far more attractive alternative for the preparation of drug delivery systems. The use of biodegradable polymers precludes the need for retrieval at the conclusion of the dosing regimen, thereby avoiding the potential complications associated with the use of non-degradable systems. A wide variety of approaches are continuously being pursued in the quest for improved biodegradable drug delivery …
Published in Trends in Drug Delivery · Vol. 8, Issue 2, 2023 · pp. 57–72 Read article
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A Review Article on Clinical Pharmacy Overview
Abstract: Clinical pharmacy is the branch of pharmacy and is the practice that helps the pharmacist provide services to promote rational and economical drug therapy that it’s appropriate, safe and cost effective which successively optimizes the utilization of medication and promote wellness, health and disease prevention. The reason for emergency of clinical pharmacy practice has been remarkably consistent worldwide. Clinical pharmacist provide care for patients altogether health care setting, clinical pharmacist …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 11, Issue 2, 2023 · pp. 06–12 Read article
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A Global Impact of Pharmaceutical Pollution
Abstract: Pharmaceutical products play an important role in our daily life in which consumption medicine is essential in need of curing the disease. As the requirement of the pharmaceuticals is more important in human life the production of medicine is in more demanded in global level in our day-to-day life. The most important aspects are the other side in which the pollution of the pharmaceuticals is caused due to the manufacturing, …
Published in Research and Reviews: A Journal of Toxicology Read article
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A Molecular Docking Study: Targetting HIV-1 Integrase Protein Against Selected Phytocompounds from Calophyllum Lanigerum
Abstract: Objectives: The most common form of HIV that causes AIDS is HIV-1. The World Health Organization has estimated roughly 75 million plus HIV-1 infections till date and roughly 40 million deaths (as of 2021). Thus, this study was done to identify natural compounds from Calophyllum lanigerum, a medicinal plant largely endemic to South-East Asia, to inhibit the spread of this disease. It did so by using molecular docking methods, Lipinski …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 2, 2023 · pp. 43–55 Read article
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Biomedical Approach to Developing and Characterizing Chitosan Nanoparticles Encapsulating Urapidil for Hypertension Management
Abstract: The aim of this study was to create Chitosan Nanoparticles loaded with Urapidil to achieve controlled drug release, enhance solubility, and reduce dosing frequency to improve patient adherence to therapy for hypertension. Urapidil was formulated into nanoparticles via the ionic-gelation method using Chitosan as a polymer, Sodium tripolyphosphate as a cross-linking agent, and filled into hard gelatin capsules after lyophilization. Pre-formulation studies, including melting point analysis and determination of the …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 1, 2024 · pp. 43–51 Read article
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Simultaneous Determination And Stability Indicating Method For Telmisartan, Metoprolol Succinate And Cilnidipine In Tablet Dosage Form.
Abstract: There are several medicinal agents available for antihypertensive activity. Telmisartan, metoprolol and cilnidipine are among them. Quantitative and qualitative analysis plays a pivotal role in safeguarding patients. Here, the estimation of these drugs was performed by using the chromatographic technique RP-HPLC. It was conducted with Phosphate buffer (pH 3.5 ± 0.01): Methanol (50:50 v/v) mobile phase. The system was operated at 1 ml/min. Drug volume to the system was 20μl. …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 1, 2024 · pp. 32–38 Read article
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Revolutionizing Knee Osteoarthritis Diagnosis: Unleashing the Potential of Vision Transformers
Abstract: Osteoarthritis (OA) is the most common kind of arthritis. By analysing data from both sides of the knee joints, radiologists use the Kellgren–Lawrence (KL) grading system to determine the severity of osteoarthritis (OA). The need for knee arthroplasties has increased as a result of this. Recently, there have been proposals for computer-assisted techniques to improve the precision of OA diagnosis. Choosing between conservative and surgical treatment options for knee osteoarthritis …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 1, 2024 · pp. 24–31 Read article
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Comprehensive Overview of Carbohydrate Polymers
Abstract: Targeting drug delivery specifically to the colon has become increasingly crucial for treating various colonic diseases like colorectal cancer, amebiasis, ulcerative colitis, and Crohn’s disease. Numerous strategies have been developed for this purpose, including using enzymatically degradable polymers, employing prodrug-based approaches, coating drugs with polymers sensitive to time or pH changes, utilizing osmotically and pressure-controlled delivery systems. Polysaccharides activated by the colon's physiological environment show significant potential as they offer …
Published in International Journal of Membranes · Vol. 1, Issue 1, 2024 · pp. 8–21 Read article
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Advancements in Solubility Enhancement Through Liquisolid Compact Technology: A Comprehensive Review
Abstract: The study examines Liquisolid Compact Technology as an innovative approach for improving the bioavailability and solubility of drugs that are poorly soluble in water. Liquisolid systems, comprising solid carriers and liquid drugs, offer advantages such as improved drug release and bioavailability, reduced manufacturing costs, and controlled drug delivery. The technique involves dissolving or suspending the drug in non-volatile solvents, adding carrier materials, super disintegrants, and coating materials, and then compressing …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 2, 2024 · pp. 25–34 Read article
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Plants Disease Detection Using TensorFlow and OpenCV
Abstract: Growing healthy and productive crops is crucial in the global battle for food security. To minimize crop losses and apply timely control measures, early and precise diagnosis of plant diseases is essential. Conventional illness detection techniques are subjective, labor-intensive, and complicated; they frequently rely on eye inspection. The TensorFlow and OpenCV libraries are used in this study to explore the use of Convolutional Neural Networks (CNNs) for plant disease discovery. …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 31–38 Read article
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Unveiling Nature’s Potential: In Silico Exploration and Identification of Herbal Remedies for Major Depressive Disorder Through Molecular Interaction Studies
Abstract: Major depressive disorder (MDD), a globally discussed mental health condition, has drawn significant attention because of its unique and intricate nature. This is marked by the enduring presence of negative emotions stemming from a lack of interest, diminished self-esteem, and excessive rumination. Despite the widespread availability of various antidepressant medications, their effectiveness is hindered by low response rates, prolonged treatment durations, and the prevalence of side effects, such as headaches, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 1, 2024 · pp. 54–62 Read article
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Network Intrusion Detection System Using Decision Tree
Abstract: This paper presents a novel approach to network intrusion detection systems (NIDS) using advanced decision tree algorithms to address critical limitations in existing IDS solutions. Traditional IDSs often struggle with high false positive and negative rates, lack of scalability, and poor interpretability. Our proposed IDS leverages decision trees to enhance detection accuracy, interpretability, and scalability, thereby improving network security. Decision trees are chosen for their adaptive learning capabilities, transparent decision-making …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 22–33 Read article
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X-Ray Insight: Deep Learning-Enhanced Detection and Grading of Knee Osteoarthritis
Abstract: Osteoarthritis (OA) is the most prevalent form of arthritis affecting the knee. It is a degenerative joint disease characterized by the gradual deterioration of cartilage, typically impacting individuals aged 50 and above, although it can also occur in younger people. The condition progresses slowly, with symptoms intensifying over time, leading to significant pain and discomfort. Early diagnosis and intervention can significantly alleviate pain and enhance the quality of life for …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 2, 2024 · pp. 1–6 Read article
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Targeting Vasopressin 2 Receptor (V2R) in Renal Cystogenesis by Exploring the Nephroprotective Potential of “Terminalia arjuna”
Abstract: Objectives: Autosomal dominant polycystic kidney disease (ADPKD) is the most common inherited kidney disorder, leading to the formation of multiple cysts in the kidneys. It is a major cause of end-stage renal disease (ESRD), which often requires dialysis or a kidney transplant for survival. This research focuses on identifying potential bioactive compounds derived from natural sources that show promise for drug development targeting the V2R gene. Methods: The naturally occurred …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 2, 2024 · pp. 14–24 Read article
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Polymer Composite Mapping: Analyzing Land Use/Land Cover Changes in Mathura District, Uttar Pradesh, India
Abstract: Polymer-based mapping approaches are utilized in this study to improve the accuracy and consistency of LULC classification. Utilizing the special qualities of polymers like their elasticity, robustness, and adaptability, we create a strong framework for mapping LULC dynamics. Over the past few years, the district of Mathura in the state of Uttar Pradesh has experienced substantial expansion and development. This study assessed the change detection and estimated the shift in …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 662–667 Read article
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Magnetic Nanopolymer: Applications and Challenges in Medical Imaging and Theranostics
Abstract: Biopolymers are valuable complex materials. They attract attentions of many scientists, engineers and medical professionals’ for application research. In this research, an assessment of emerging Nanopolymers including magnetic nanopolymer is focused. Hence, sources, magnetic properties, and biomedical application of such polymers are given attention. As ordinary polymers, nano sized biopolymers are visualized as natural and synthetic polymers. However, more emphasis is given to green synthesized magnetic polymer, particularly magnetic Chitosan …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 1, 2025 · pp. 11–21 Read article
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Real-time DDoS Attack Prediction in SDN Environments Using Machine Learning
Abstract: The ever-growing reliance on sdn-based services necessitates robust security measures against Distributed Denial-of-Service (DDoS) attacks that threaten service availability. This project investigates the development of a real-time prediction system for DDoS attacks in sdn environments, leveraging the power of machine learning. The proposed system employs a Decision Tree classification algorithm implemented in Python. To ensure accurate attack identification, the system meticulously addresses data preprocessing challenges inherent in network traffic datasets. …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 16–27 Read article
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In Silico Analysis and Molecular Docking Studies of COX-2 Inhibitors for Anti-Inflammatory Activity
Abstract: Although nonsteroidal anti-inflammatory drugs (NSAIDs) are frequently used to treat pain, lower fevers, and control inflammation, they frequently cause gastrointestinal side effects because they inhibit the COX-1 and COX-2 enzymes. Despite their effectiveness and lack of gastrointestinal side effects, selective COX-2 inhibitors have been linked to cardiovascular risks. To find new COX-2 inhibitors that are safer and more effective, this study uses in silico techniques, such as molecular docking and …
Published in International Journal of Molecular Biotechnological Research · Vol. 3, Issue 1, 2025 · pp. 38–55 Read article
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Formulation Development and Evaluation Technique for Immediate and Modified Release Capsule
Abstract: The development and evaluation of formulations for immediate-release (IR) and modified-release (MR) capsules represent a critical aspect of pharmaceutical dosage form design, offering distinct advantages in terms of drug release profiles and therapeutic outcomes. This study focuses on the formulation strategies, techniques, and evaluation methods used to develop both IR and MR capsules. Immediate-release capsules are designed to disintegrate quickly in the gastrointestinal tract, ensuring rapid drug absorption, while modified-release …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 3, Issue 1, 2025 · pp. 1–9 Read article