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298 articles for “Clinical Data”
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A Research on the Additives and Regulatory Requirements for Pediatric Formulation
Abstract: These days, pediatric considerations are incorporated early on in the creation of new medications. The guidelines and policies of European drug regulatory bodies served as the foundation for our investigation. The review comprehensively outlines excipients commonly found in pediatric medicine formulations. It identifies potentially harmful compounds flagged by scientific literature, stressing the necessity of rigorous safety checks, often involving toxicity studies. Excipients included in pediatric databases, like the STEP database, …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 1, 2024 · pp. 28–45 Read article
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A Review on Ethnomedicinal Claims of Gloriosa Superba Linn. (Langali).
Abstract: Aim: Gloriosa superba Linn., is a procumbent herbaceous climber and different parts of G. superba, have wide diversity of uses especially in traditional system of medicine among local healers. The goal of the current review is to gather information on research updates and claims pertaining to ethno medicine and folklore that is currently accessible. Material and Methods: Information and data regarding reported ethno medicinal uses and folklore claims of the …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 2, 2024 · pp. 14–23 Read article
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Time Utilization by Hospital Attendants and Housekeeping Staffs in a Tertiary Level Hospital
Abstract: Introduction: Time management refers to the deliberate and conscious management of one's time to effectively allocate it to specific activities, with the aim of enhancing productivity and efficiency. Efficient time utilization can lead to improved employee productivity, streamlined job performance, and effective task completion. Additionally, it enables employees to accomplish necessary tasks and assists organizations in achieving their goals by effectively recording and guiding their activities. The objectives of this …
Published in International Journal of Community Health Nursing And Practices · Vol. 1, Issue 1, 2023 Read article
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Early Autism Diagnosis: Machine Learning Models and Their Effectiveness
Abstract: Diagnosis is of utmost importance for timely intervention and support. However, traditional diagnosis methods, which are based on subjective assessment, are delayed. This project explores the role that machine learning techniques might play in enhancing the accuracy and effectiveness of ASD detection. Several state-of-the-art classification algorithms were benchmarked using a dataset from Kaggle. Logistic Regression, XG Boost, Random Forest, Decision Tree, and Gradient Boosting were taken into consideration. Other performance …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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Efficacy of Educational Intervention on Knowledge Regarding High-Risk Pregnancy and Its Management in Terms of Knowledge Gain Among Antenatal Women
Abstract: Background: High-risk pregnancies are associated with increased maternal and fetal complications and require timely identification and proper management. Many antenatal women have limited knowledge regarding high-risk conditions and the necessary precautions. Structured teaching programs can significantly improve awareness and empower mothers to take proactive steps for safe pregnancy outcomes. Aim: To assess the effectiveness of a structured teaching program on knowledge regarding high-risk pregnancy and its management among antenatal women …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 1, 2026 · pp. 1–5 Read article
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Using Artificial Intelligence for The Design of Polymeric Drug Delivery Systems
Abstract: AI is cost effective and time efficient process. Artificial intelligence is a method which uses high speed calculation, the improvement regarding algorithm along with collection about biological and chemical features in pharmaceutical exploration and development .Present day because continuous progress towards machine learning (ML),Artificial intelligence an effective statistics analysing technology might have been broadly utilized in drug design .In pharmaceutical exploration and research employ of AI in target identification, compound …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1018–1027 Read article
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Live Epidemiological Tracking of COVID-19 in Senegalese Participants of the Hajj
Abstract: Background: Since the COVID-19 outbreak, global efforts have focused on controlling the disease. However, intense cross border movements pose a risk for the emergence of new SARS-CoV-2 strains. A recent example is the detection of cases among the 2024 Senegalese pilgrims returning from Mecca, Saudi Arabia. Investigations of these cases have revealed genomic evolution of the virus. The lack of surveillance may lead to the emergence of high-threat strains. This …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 2, 2025 · pp. 8–16 Read article
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Pharma Guard: Smart Medication Management System
Abstract: Pharma Guard Smart Medication Management System presenting a comprehensive overview of an innovative technology designed to revolutionize medication management in healthcare settings. In an era of advancing digital solutions, the Pharma Guard system offers a sophisticated approach to ensuring medication safety and adherence. Through the integration of smart technology, including internet of things (IoT) devices and machine learning algorithms, Pharma Guard enables real-time monitoring, tracking, and management of medication consumption …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 1, 2024 · pp. 30–37 Read article
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Comprehensive Analysis of MRSA Peptides Via Maldi
Abstract: The present study employed Matrix-Assisted Laser Desorption/Ionization Time-of-Flight mass spectrometry to analyze methicillin-resistant Staphylococcus aureus peptides, focusing on various parameters associated with mass-to-charge (m/z) values. Through systematic data collection and analysis, including time, intensity, signal-to-noise ratios, quality factors, resolutions, areas under the peaks, relative intensities, full widths at half maximum, Chi-squared values, and background peaks, comprehensive insights into the spectral characteristics of methicillin-resistant Staphylococcus aureus peptides were obtained. Methicillin-resistant Staphylococcus …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 98–101 Read article
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Breast Cancer Detection Using Machine Learning: A Comparative Analysis of Supervised Learning Algorithms
Abstract: Globally, breast cancer remains a predominant cause of mortality among women, highlighting the urgent need for timely and precise diagnostic approaches. This research explores the application of machine learning algorithms—including Logistic Regression, SVM, Naïve Bayes, KNN, and Random Forest—on the Wisconsin Breast Cancer Dataset for effective tumor classification. Key pre-processing steps such as missing value handling, feature scaling, and dimensionality reduction were employed to improve model performance. The study evaluated …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 46–52 Read article
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Tools, Modern Drugs, and Latest Investigations for the Diagnosis and Treatment of Heart Failure: A Systematic Review of the General Causes
Abstract: Heart failure (HF) diagnosis and treatment present formidable challenges, given the absence of a definitive single test. This systematic literature review aims to comprehensively analyze the current landscape of diagnostic tools, modern drugs, and latest investigative approaches in HF management. Recognizing the complexity of HF etiology, this systematic review emphasizes the importance of advanced diagnostic methods, such as genetic testing and artificial intelligence applications. The systematic review was conducted to …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 1–10 Read article
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Enhancing Glaucoma Diagnosis with Deep Learning: A Study Using ResNet-50 and DenseNet-121
Abstract: Glaucoma is a leading cause of irreversible blindness worldwide, mainly resulting from progressive optic nerve damage, often related to elevated intraocular pressure. Early detection is essential to prevent vision loss, but traditional diagnostic methods rely on specialized equipment and trained professionals, making large-scale screening difficult. This study uses a publicly available fundus imaging dataset to explore the effectiveness of deep learning models for glaucoma detection. These datasets provide medical images, …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 9–18 Read article
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Advances in Multiclass Oral Cancer Detection Using Spectroscopic and AI Techniques
Abstract: Oral cancer, primarily OSCC, is still a major health issue worldwide, especially in low-HDI countries. Early diagnosis is essential since survival rates for early detection are much higher than for late-stage detection. However, traditional methods like visual inspection and biopsy are time-consuming, invasive, and rely on the clinician's skill, which is a limitation in accessibility and efficiency. Oral cancer detection has just been revolutionized by recent advances in spectroscopic techniques, …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 3, 2025 · pp. 39–48 Read article
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Evaluating the Role of Apple Cider Vinegar in Managing Semaglutide-Induced Gastrointestinal Disturbances: A Systematic Review
Abstract: Background: Semaglutide, a glucagon-like peptide-1 (GLP-1) receptor agonist, is highly effective in treating type 2 diabetes and obesity. However, its use is often associated with gastrointestinal side effects, including nausea, vomiting, and diarrhea, which may impact patient compliance. Objective: This systematic review aims to evaluate the evidence regarding the management of semaglutide-induced GI symptoms and assess the potential role of apple cider vinegar (ACV) as a complementary treatment. Methods: A …
Published in Research and Reviews: A Journal of Medicine · Vol. 15, Issue 1, 2025 · pp. 25–31 Read article
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A Comparative Study of Transfer Learning-Based Deep Learning Models for Breast Cancer Detection
Abstract: Breast cancer is a major concern in the world today, and early and accurate diagnosis is most crucial in the case of breast cancer, as it is among the disorders where the total cost of loss of life is high. Traditional screening processes are subjective and vulnerable to inter-observer reliability issues and diagnostic errors, being primarily based on manual interpretation of medical images. To address these limitations, Deep Learning (DL) …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 24–34 Read article
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Comprehensive Review of Moebius Syndrome: Clinical Landscape, Etiology, and Therapeutic Challenges
Abstract: Moebius syndrome, a rare congenital neuromuscular disorder, presents with non-progressive facial weakness, limited eye abduction, and diverse manifestations affecting cranial nerves. This comprehensive review explores its clinical landscape, emphasizing the need for extensive investigations into its elusive etiology and genetic underpinnings. The estimated prevalence is 1 in 250,000 live births, with sporadic cases prevailing. Initial symptoms, evident from birth, encompass difficulties in sucking, and feeding, and absent facial expressiveness. Beyond …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 1, 2024 · pp. 27–38 Read article
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Mid-Year Epidemiological Profile of COVID-19 Posi ve Cases in Rajasthan, India
Abstract: Background: COVID-19, caused by SARS-CoV-2, has posed persistent public health challenges globally since its emergence in late 2019. India, through enhanced surveillance and vaccina on, has seen a progressive decline in case burden. Despite improvements, localized surges and emerging variants necessitate con nuous monitoring. Rajasthan, with its urban-rural health dispari es, experienced a modest resurgence of cases in early 2025, raising concerns about exis ng immunity gaps and health system …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 3, 2025 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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Lower Genital Tract Infections in Pregnant Women: Epidemiology and Risk Factors Associated in Dakar, Senegal
Abstract: Vaginal infections are responsible for many problems in women of childbearing age and significantly influence pregnancy outcomes. This study sought to ascertain the prevalence of lower genital tract infections and the risk factors associated with them in pregnant women under observation at the Nabil Choucair Health Centre in Dakar, Senegal. This nine-month cross-sectional study, which involved women between 34 and 38 weeks gestation (WG), was carried out from July 2020 …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 2, 2024 · pp. 47–59 Read article
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AI-Driven Micro-Expression Recognition for Early Mental Health Disorder
Abstract: Mental health conditions like anxiety and depression are often undiagnosed because the usual diagnostic methods based on basic regular instruments like questionnaires and clinical interviews have some limitations in them. They are not objective often and may not catch the initial signs of psychological distress. Micro-expressions have become valid measures of repressed or unconscious emotions and can provide greater insight into someone's mental condition. Also, identification and interpretation of these …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 40–49 Read article