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1680 articles for “BCS Class II/IV drugs”
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Polycystic Ovarian Syndrome and Its Management in Unani System of Medicine – A Comprehensive Review
Abstract: Polycystic ovarian syndrome (PCOS) is a prevalent endocrine disorder that significantly impacts women’s reproductive and metabolic health. It often leads to anovulation and infertility, creating distress for those affected. Additionally, PCOS increases the risk of developing diabetes and other long-term health complications. Recognizing and addressing PCOS is crucial, as early intervention can improve quality of life and prevent serious health issues. Common symptoms are polymenorrhea, oligomenorrhea, amenorrhea, hirsutism, acne, weight …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 2, 2025 · pp. 13–24 Read article
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The Concept of Guillain-Barré Syndrome (GBS) in Unani Medicine and the Potential Role of Unani Pharmacology in Its Management
Abstract: Introduction: Guillain–Barré Syndrome (GBS) is an autoimmune neurological disorder characterized by progressive muscle weakness and paralysis due to immune-mediated damage to the peripheral nervous system. Conventional treatments focus on immunotherapy and supportive care, but alternative approaches, such as Unani Medicine offer promising holistic management strategies. Unani Medicine attributes GBS to humoral imbalance, particularly an excess of Balgham (Phlegm) affecting nerve function, leading to weakness and dysfunction. Objective: This study aims …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 2, 2025 · pp. 32–52 Read article
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Nurse’s Responsibility and Liability in Chemotherapy Formulation: Legal and Ethical Considerations
Abstract: Each year, over 16 million new cancer cases are diagnosed globally. Cancer causes cells to grow uncontrollably, potentially leading to the formation of tumors, immune system damage, and other debilitating effects that can be fatal. Common cancer treatments include surgery to remove tumors, chemotherapy, radiation therapy, hormonal therapy, and immunotherapy. Among these, chemotherapy plays a significant role, accounting for nearly half of the overall treatment approach. Chemotherapy drugs can be …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 15–20 Read article
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Exploring Psychotropic Trends of Medication Use in Psychiatric Outpatients: An Observational Study at a Tertiary Care Hospital
Abstract: Background: Psychotropic medications are essential in managing a wide range of psychiatric disorders, including depression, anxiety, bipolar disorder, and schizophrenia. Prescribing habits in outpatient clinics can differ a lot depending on things like the patient’s age, background, and medical conditions. Aim: This study aims to explore the trends in psychotropic medication use among psychiatric outpatients at a tertiary care hospital, with a focus on understanding prescribing patterns, demographic factors, and …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 2, 2025 · pp. 15–23 Read article
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Fault Detection in Solar PV Systems Integrated with the Power Grid: Evaluating Logistic Regression through Confusion Matrix Analysis
Abstract: This paper proposes a method for failure detection in grid-integrated solar photovoltaic (PV) systems using logistic regression and real-time sensor data. The approach effectively classifies and identifies seven distinct fault types. The developed model demonstrates a high fault identification accuracy, ranging from 93% to 96.5% across various fault types and operational conditions. By leveraging logistic regression, the system utilizes key independent variables that significantly influence the classification process. Additionally, the …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 45–52 Read article
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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
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A Review on Kaempferol Eye Drops for the Glaucoma Treatment
Abstract: One of the main causes of permanent blindness, glaucoma is defined by gradual damage to the optic nerve, mostly brought on by oxidative stress, neuroinflammation, and high intraocular pressure (IOP). The investigation of herbal alternatives is necessary since current synthetic therapies, such as beta-blockers and prostaglandin analogs, frequently result in ocular discomfort, systemic toxicity, and poor patient compliance. Clitoria ternatea contains kaempferol, a bioactive flavonoid that has shown anti-inflammatory, antioxidant, …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 110–121 Read article
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Ai-Driven Healthcare System for Enhanced Diagnosis and Patient Interaction
Abstract: Deep learning techniques are used in an AI-driven healthcare system to improve disease identification and medical picture analysis. Data collection, preprocessing, model training, and evaluation are all part of the system's systematic workflow. Various deep learning architectures, such as ResNet50, VGG-16, and U-Net, are employed for precise classification and segmentation of medical images. The approach incorporates advanced techniques such as optimization, transfer learning, and data augmentation to significantly enhance the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article
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Construction of Chalcone–Thiadiazole Derivatives with (Spectral and Anticancer)-Study
Abstract: Most organic chemistry compounds are widely used in the manufacture of medicines and antibiotics. Due to the spread of many epidemics that develop later as a result of not using appropriate antibiotics, these infections may develop in some tissues into carcinogenic tissues. Therefore, many researchers have developed a series of pharmaceutical compounds and developed the method of their connection with cyclic compounds. A series of chalcone derivatives has been presented …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 64–80 Read article
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The Evolution and Impact of Numbers: From Ancient Tallies to Quantum Computing: Review Article on Numbers
Abstract: Numbers are among the most fundamental constructs in human civilization, serving as the backbone of mathematics, science, technology, and virtually every aspect of daily life. They represent not only quantities and measures but also relationships, structures, and patterns that underpin the fabric of human understanding. From the earliest tallies etched on bones by prehistoric humans to the sophisticated numerical systems embedded in today’s artificial intelligence and quantum computing, the evolution …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 15–19 Read article
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AI-Powered ECG Prediction System for Detecting Cardiovascular Disease
Abstract: The proposed AI-powered CardioSmart Analyzer, an electrocardiogram (ECG) prediction system, presents an innovative and scientifically rigorous approach to the real-time automated analysis of ECG signals for diagnosing various heart conditions. This research focused on building a predictive model to identify cardiovascular diseases (CVD) using ECG data. A dataset comprising 2,840 12-lead ECG recordings was gathered from medical facilities in Gazipur, Bangladesh, over the period from June to August 2024. The …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 51–85 Read article
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A Correlational Study to Assess the Effect of Social Media Engagement on Body Image Among Adolescents in Selected School, Haryana, India
Abstract: Social media has become an undeniable force in shaping modern social interactions, particularly among adolescents. Social media platforms are often criticized for perpetuating unattainable beauty ideals. These platforms frequently showcase images highlighting slimness, youth, and flawless skin, often manipulated by filters, photo editing tools, or even cosmetic surgery. These portrayals of "ideal" beauty can distort adolescents' sense of themselves, leading to increased body dissatisfaction. Objectives of the study were: (i) …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 46–64 Read article
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Emotion Recognition from Electroencephalogram Signal and Eye Movement Based on Deep Learning
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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Formulation, Evaluation, and Stability Studies of a Topical Clotrimazole and Zinc Oxide Suspension with Enhanced Skin Protective Properties
Abstract: Background: Clotrimazole is a well-known antifungal agent frequently used in the treatment of various superficial fungal infections, while Zinc Oxide is a widely accepted skin protectant with soothing, astringent, and antimicrobial properties. Combining these agents in a topical suspension offers a dual therapeutic approach, enhancing both antifungal efficacy and skin protection. Objective: The objective of this study was to formulate, evaluate, and conduct stability studies on topical suspensions containing Clotrimazole …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 3, 2025 · pp. 22–31 Read article
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A Review of Telepharmacy: Advancements, Challenges, and Future Directions
Abstract: Like telemedicine, telepharmacy is a relatively new term that describes the delivery of pharmacological services. While tele comes from the Greek word “Telos,” which means from a distance, medicine comes from the Latin word “Meden,” which means to heal. The National Association of Boards of Pharmacy defines telepharmacy as the use of information and communication technology to provide patients with pharmaceutical treatment from a distance. Clinical pharmacy services are provided …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 34–42 Read article
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A Dual-Model Deep Learning Framework for Early Alzheimer’s Detection Using Clinical Data and Neuroimaging with Architectural Performance Analysis
Abstract: Alzheimer’s disease (AD) poses a significant global health challenge due to its increasing prevalence and the absence of definitive cures. Early diagnosis is crucial for effective intervention and management. This study presents a dual-model deep learning framework for the early detection and classification of AD using both structured clinical data and neuroimaging datasets. Model 1 utilizes a greedy layer-wise autoencoder approach applied to structured data, achieving optimal binary classification accuracy …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 1–12 Read article
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Particle Swarm Optimization Framework for Accurate Battery State-of-Charge and Remaining Useful Life Estimation
Abstract: Accurate estimation of the State of Charge (SOC) and State of Health (SOH) of a battery is key to safe and efficient management of batteries in electric vehicles and energy-storage systems. However, it is challenging due to high nonlinearity, varying operating conditions, measurement noise, and limited access to comprehensive electrochemical parameters. Traditional data-driven models often generalize poorly and require heavy tuning, which can produce unstable predictions. To address these problems, …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 53–64 Read article
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Next-Generation Biodegradable Polymer Composites: Enhancing Mechanical and Thermal Performance through Green Reinforcements
Abstract: Next-generation biodegradable polymer composites, combining compostable matrices such as polylactic acid (PLA), polyhydroxyalkanoates (PHAs) and starch-based polymers with green reinforcements (e.g., nanocellulose, lignin, agricultural residues and other bio-fillers), offer a pragmatic route to reconcile high performance with end-of-life sustainability. This paper examines recent advances in the design, processing and interfacial engineering of such composites to enhance mechanical stiffness, strength, toughness and thermal stability while preserving—or intentionally controlling—biodegradation pathways. Emphasis is …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1780–1794 Read article
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SkinSight: Design and Implementation of an Intelligent Skin Type Detection System
Abstract: Identifying an individual’s skin type accurately is essential for creating personalized dermatological treatments and formulating skincare products that genuinely meet user needs. In this project, a real- time skin type classification system is developed using a combination of convolutional neural networks (CNNs) and modern computer vision techniques. The system processes live video streams, isolates the facial region through Haar cascade–based detection, and applies a series of preprocessing steps to enhance …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 35–45 Read article
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Understanding of Research Bias in Herbal Medicine: A Comprehensive Review
Abstract: Background: The communication and generation of knowledge are central to research. In herbal medicine, with its deep historical roots, research must be methodologically rigorous and unbiased to validate traditional knowledge in modern contexts. Bias, defined as any tendency preventing objective evaluation of a research question, compromises validity and reliability. Objective: To highlight types of research bias in herbal medicine and discuss strategies for minimization to ensure credible and applicable findings. …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 1, 2026 · pp. 31–35 Read article