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1680 articles for “BCS Class II/IV drugs”
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Skin Disease prediction and classification from dermoscopy images using Neural Network
Abstract: Skin diseases are among the most common health-related problems affecting people of all age groups, and their occurrence often varies with seasonal and environmental conditions. Delayed or incorrect diagnosis of skin disorders can lead to severe complications, making early and accurate detection extremely important for effective treatment and prevention. In recent years, rapid advancements in deep learning and neural network technologies have significantly contributed to the development of automated medical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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To study aims to compare the pain relief effects of a single intravenous dose of paracetamol and fentanyl in patients undergoing elective surgery
Abstract: Objective: Effective pain management during and after surgery is vital for ensuring patient comfort and promoting recovery. While intravenous (IV) paracetamol and fentanyl are commonly administered for pain relief, their effectiveness in elective surgeries continues to be a subject of debate. Methods: In this future-oriented randomized controlled experiment the goal was to investigate the effectiveness of administering IV paracetamol and IV fentanyl for managing pain during and after scheduled elective …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 · pp. 1–14 Read article
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Treatment of Hepatotoxicity
Abstract: An instantaneous or prolonged response to a synthetic or natural substance is known as drug-induced liver injury, or drug-induced hepatotoxicity (DILI). There are two distinct pathways that lead to hepatotoxicity: the more unpredictable idiosyncratic mechanism and the dose-dependent intrinsic mechanism. Several pathways, some known and others speculated, may be involved in the emergence of drug-induced damage. Drug-induced liver impairment can have several causes, and elevated liver tests are one of …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 31–37 Read article
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Review on Sustained Released Matrix Tablet
Abstract: Pharmaceuticals often use sustained release dose forms to prolong the therapeutic agent’s presence in the bloodstream and maintain a consistent plasma profile. The matrix governs the drug’s release rate. Hydroxypropyl methyl cellulose, a release retardant, is a key excipient in formulations due to its ability to promote sustained release. Techniques that include wet granulation, direct compression, or the dispersion of solid particles within a porous matrix, integrating polymers, like polymethyl …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 60–69 Read article
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Comprehensive Review on Antimicrobial based Hydrogel for Wound Healing
Abstract: Chronic wounds present a significant clinical challenge due to their prolonged healing time, high risk of infection, and frequent recurrence. The development of novel wound dressings with both healing and antimicrobial properties is essential for effective wound management. This study focuses on the formulation and evaluation of an antimicrobial drug-loaded hydrogel designed to promote chronic wound healing. Chronic wounds are a growing concern in healthcare, often taking weeks or even …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 2, 2025 · pp. 72–88 Read article
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Pharmacovigilance: The Silent Guardian of Patient Safety
Abstract: Pharmacovigilance is critical in protecting the populace health by monitoring, detecting and preventing adverse drug reaction (ADR) post drug approval. Although there is technological advancement and national initiatives such as the Pharmacovigilance Programme of India (PvPI), there is still a great problem of underreporting. Many benefits of effective pharmacovigilance include identification of risks early, better prescriptions and patient confidence. There are historical examples of drugs being withdrawn due to thalidomide, …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 01–05 Read article
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Synthesis and Characterization of pH-Sensitive Poly (N-isopropylacrylamide-co-acrylic Acid) Hydrogels for Controlled Release of Doxorubicin
Abstract: pH-responsive polymeric hydrogels have attracted significant attention as intelligent biomaterials for site-specific and controlled drug delivery in cancer therapy due to their ability to respond to the acidic tumor microenvironment. In the present study, poly (N-isopropylacrylamide-co-acrylic acid) [P(NIPAM-co-AAc)] hydrogels were synthesized via free radical copolymerization and systematically characterized to evaluate their suitability for controlled delivery of doxorubicin, a widely used chemotherapeutic agent. The copolymer hydrogels were prepared using N-isopropylacrylamide and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 449–458 Read article
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Formulation and Evaluation of Betel Leaf and Clove Based Herbal Gel
Abstract: This study developed and assessed a herbal gel comprising extracts of betel leaf (Piper betle) and clove (Syzygium aromaticum) for topical use. Herbal extracts were prepared by Soxhlet extraction and analyzed for yield, phytochemical profile and total phenolic content (TPC). The phytochemicals present were alkaloids, flavonoids, tannins and phenols, and glycosides, with a greater phenolic content for clove extract. Herbal gels were prepared using Carbopol 934 and assessed for properties, …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 13, Issue 2, 2026 Read article
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Drugs for Alzheimer’s Disease from Salix Alba Discovered Computationally Utilizing Virtual Screening and Docking against 1b41 Protein
Abstract: Objective : The of this research is to evaluate the feasibility of using molecular docking techniques to identify novel acetylcholinesterase, a key enzyme implicated in the pathogenesis of Alzheimer’s disease, a neurodegenerative disorder with a gradual but steady progression to death, due to the gradual accumulation of beta-plaques and neurofibrillary tangles, as well as a decline in acetylcholine levels. Due to its function in converting acetylcholine into acyl and choline …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 2, 2023 · pp. 07–19 Read article
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Methods Based on Machine Learning for Large-scale Classification of Crop Leaf Diseases
Abstract: Worldwide productivity of crops is seriously threatened by crop leaf diseases, which can result in large crop losses and negative economic effects. Effective disease management and crop protection depend on the early and precise detection and classification of these illnesses. Machine learning approaches have gained popularity recently due to their ability to automate procedures related to illness diagnosis and classification. An overview of the several machine learning–based methods used for …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 11–23 Read article
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Machine Learning Approaches Towards Resume Classification
Abstract: Finding the right person for an open position can be an unnerving task, especially when there are many applicants, and if the recruiter or the Human Resources department must sort and further categorize all those resumes then it will be a labor-intensive, time-consuming, and tiresome task. Additionally, human assessment of resumes may be biased and prone to mistakes. Manually screening the proper candidate's resume from the pool is not practicable; …
Published in International Journal of Electronics Automation · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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Classification and Detection of Brain Tumor using Convolutional Neural Network
Abstract: Tumors are masses created when brain cells multiply uncontrollably. A brain tumor is the medical term for this condition. Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Developing a treatment plan is essential to raising a patient's standard of living. Tumors in different regions of the body are evaluated using a variety of imaging techniques, with MRI pictures being utilized mostly for …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 8–13 Read article
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Biopharmaceuticals: A Review of Biopolymeric Drugs and Accessibility Challenges in India
Abstract: Advances in biotechnology have allowed us to produce biosynthesized proteins that have therapeutic benefits. The drug products having biotechnology derived proteins, i.e. Biopharmaceuticals, have evolved the treatment of several diseases. knowledge about biological systems have been explored scientifically, there have been significant efforts to utilize them for improving human lives. These biopharmaceutical products have a rapidly growing market which needs to be closely monitored to avoid any potential risks. This …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 32–38 Read article
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Removal of Lead (II) ions from Water by using green nanoTrimanganese Tetroxide
Abstract: Inorganic pollutants like heavy metal ions and organic pollutants like pesticides and dyes are the main causes of water pollution. These contaminants cause serious issues for the environment and public health when they are present. To get rid of these contaminants from water bodies, several methods are employed.Due to its ease of use, great efficiency, abundance of adsorbents, and low sludge creation, adsorption is the most advantageous method for purifying …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 691–700 Read article
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Personalized Medicines in Pharmaceutics: Drug Delivery System
Abstract: Pharmaceutics personalized medicine is a developing area that seeks to customize medical interventions for specific patients. Instead of a one-size-fits-all approach, personalized medicine focuses on developing treatments that consider a person’s unique characteristics, such as their genetic makeup, environment, and lifestyle. This allows for more effective treatment outcomes, as drugs are specifically designed to work best for each patient, reducing side effects and improving therapeutic results. In pharmaceutics, this involves …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 1, 2025 · pp. 11–22 Read article
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Drug Repurposing of Anticancer Agents JP-8g and REDX05358 Against the Target Protein Plectin 1a in Epidemolysis Bullosa Simplex with Muscular Dystrophy (EBS-MD)
Abstract: Epidermolysis Bullosa Simplex with Muscle Dystrophy is a genetic disease affecting the skin and muscles which can be seen at birth or start at adulthood due to the mutation in the protein Plectin 1a (PLEC gene) causing skin blisters and muscle weakness. This protein is seen in sarcolemma, Z disks in skeletal muscles, hemidesmosomes in skin and cardiac muscles giving stability to cytoskeleton, playing a crucial role in neuromuscular transmission …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 2, 2025 · pp. 22–34 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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Robust Classification of Traffic Signs Using Relief Feature Reduction Technique
Abstract: Ensuring driver safety amidst the rapid growth of global population and vehicular density continues to be a paramount challenge for transportation authorities and governments worldwide. With the rise of smart mobility solutions and autonomous driving technologies, the ability to detect, classify, and respond to traffic signs accurately has become critically important, especially under diverse and adverse environmental conditions such as rain, fog, or poor lighting. Reliable traffic sign recognition not …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 30–37 Read article
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A Review of Automated Pomegranate Disease Detection and Classification Using Machine Learning
Abstract: The abstract outlines a research study focused on developing an automated system for detecting and classifying diseases that affect pomegranate fruits. Pomegranates, like many other crops, are vulnerable to several types of diseases that appear as visible colored spots on the fruit’s surface. These visible symptoms, such as lesions or discoloration, can significantly impact the fruit’s quality, market value, and yield. Therefore, timely and accurate identification of such diseases is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 01–13 Read article