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296 articles for “Clinical Practice”
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An experimental study to assess the efficacy of VAT on knowledge of Breast Cancer and practice of BSE among women in Chittoor, Andhra Pradesh
Abstract: Introduction: Breast cancer is more common in developing and industrialized nations alike, including India. Every year, more than a million cases of breast cancer are diagnosed worldwide. Insufficient awareness on breast cancer has been shown to be a significant contributing cause to the high rates of morbidity and death among women by refraining them from going to screening facilities, participating in BSE, and delaying treatment. Breast Cancers are second most …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 3, 2024 · pp. 38–42 Read article
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Brain Tumor Detection Using RestNet50 Architecture
Abstract: This paper presents a novel deep learning model for brain tumor diagnosis from MRI scans on the basis of ResNet50 with some modifications. Optimizing the modified layers and pre-trained ResNet50 for improved diagnostic accuracy and reliability in real-world clinical settings is one of the key contributions of this paper. The model was trained on an extremely well-balanced data of 2,577 MRI scans, which were split equally among the tumor and …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 1–13 Read article
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Effect of Lifestyle Counseling for Women with Gestational Diabetes on Fetal and Maternal Outcomes at Assiut University
Abstract: Gestational diabetes mellitus is a serious and often ignored risk to the health of mothers and children. Aim of the Study: To assess the effect of lifestyle counseling among women with gestational diabetes on fetal and maternal outcomes at Assiut University. Materials and Method: Antenatal care clinics hosted a pre-test and post-test for a quasi-experimental study. Sample: A total of 365 women in total attended antenatal care clinics. Setting of …
Published in International Journal of Women's Health Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 21–35 Read article
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Knowledge and Implementation of Infection Control Measures Among Nurses Caring for Patients with Chemical Gas Exposure
Abstract: The purpose of this study was to evaluate the level of knowledge and the extent of implementation of infection control measures among nurses caring for patients exposed to chemical gases. A descriptive cross-sectional design was adopted, and a sample of staff nurses working in clinical settings with potential chemical exposure roles was selected using convenience sampling. Data were collected via a structured questionnaire assessing knowledge of chemical inhalation hazards and …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 56–60 Read article
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A Review of Recent Advancements in Machine Learning and Deep Learning Approaches for Pet Diseases Prediction
Abstract: This systematic study assesses recent developments in Machine Learning (ML) and Deep Learning (DL) approaches to predict pet diseases. With the increasing role of Artificial Intelligence (AI) in pet healthcare, this study identifies recent research trends, limitations, and future directions. A comprehensive search was done using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines in selecting 20 relevant studies from over 300 articles published between 2020 and …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 3, 2025 · pp. 1–6 Read article
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Influence of Antibiotic Promotion Practices on Pharmacovigilance and Resistance Reporting Patterns
Abstract: The global escalation of antimicrobial resistance (AMR) has emerged as a critical public health crisis, undermining decades of therapeutic advancements. While inappropriate prescribing and misuse of antibiotics are widely acknowledged contributors, the role of pharmaceutical promotion practices remains underexplored in influencing prescribing behaviors and downstream pharmacovigilance systems. This review critically examines how antibiotic promotion strategies – ranging from direct physician engagement to digital marketing – affect adverse drug reaction (ADR) …
Published in International Journal of Antibiotics · Vol. 3, Issue 2, 2026 · pp. 1–11 Read article
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Unveiling Actionable Pathogenic Genes for Precision Oncology in Brain Cancers: Glioblastoma and Astrocytoma
Abstract: Glioblastoma (GBM) and astrocytoma are aggressive primary brain tumors characterized by significant molecular heterogeneity, complicating effective treatment. This study employed targeted next-generation sequencing of 529 cancer-associated genes on matched tumor-normal pairs from GBM and astrocytoma patients. Somatic variants were identified using a rigorous bioinformatic pipeline adhering to GATK Best Practices, with variant allele frequencies (VAF) calculated to assess clonal dominance. Functional annotation and driver mutation classification were performed using Ensemble …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 43–59 Read article
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CNN-Based Diagnosis of Skin Cancer from Dermoscopic Images
Abstract: Skin cancer has become one of the diseases widely spread over the globe, with melanoma becoming a severe threat to one’s health. Detection of such diseases at the initial stage saves an individual from drastic damage. Using a Convolutional Neural Network (CNN) for detecting skin cancer through image classification as benign or malignant provides significant support to dermatological practice and reduces dependence solely on subjective visual examination. Dermatologists often face …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 37–42 Read article
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Reverse Pharmacology: A Gateway to Validation of Efficacy of Natural Drugs
Abstract: In spite of significant advances in genomics, proteomics, metabolomics and combinatorial chemistry in the present times, reverse pharmacology (RP) has led to deviation of drug discovery and development from its regular or normal process or path. RP is a trans-disciplinary path which reverses the drug discovery and development process from lab-clinic to clinic-lab. Natural products (NPs) of Unani medicine or traditional system of medicine (TSM) provide vast potential for novel …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 9, Issue 3, 2020 · pp. 48–53 Read article
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Exploring the Development of AI Models Using Open-Source Tools to Predict Patient Outcomes and Optimize Treatment Plans
Abstract: Integrating artificial intelligence (AI) into healthcare offers a transformative opportunity to enhance patient care and clinical decision-making. Through the use of predictive analytics, AI can significantly enhance the accuracy of outcome predictions and assist in developing personalized treatment plans that cater to each patient’s specific needs. This paper delves into the development of AI models using open-source tools, which are increasingly favored for their accessibility, collaborative nature, and capacity for …
Published in Journal of Open Source Developments · Vol. 11, Issue 3, 2024 · pp. 37–49 Read article
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Practice and Preference of Tooth Notation Systems Among the General Dental Practitioners in Vadodara City
Abstract: Introduction: There are several different tooth notation systems used by dentists for associating data to a selected tooth. Several types amongst them can be named as Universal system, Bosworth system, Navy system, World dental federation system, Zsigmondy and Palmer system and Federation Dentaire Internationale (FDI). But there is no single tooth notation system used worldwide. All notation systems introduced up to now are used as per native wants and convenience. …
Published in Research and Reviews: A Journal of Dentistry · Vol. 13, Issue 3, 2022 · pp. 30–34 Read article
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Disease Prediction Using Ensemble Learning Models: A Comprehensive Approach
Abstract: In recent years, ensemble learning techniques have become pivotal in advancing predictive analytics within healthcare, particularly for early disease detection. The inherent variability and complexity of medical data, often characterized by high dimensionality, class imbalance, and noise, make it challenging for standalone classifiers to maintain high predictive accuracy. Ensemble learning, by integrating multiple models through bagging, boosting, or stacking, offers a more robust and generalizable approach. This study explores the …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 26–33 Read article
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Adult Granulosa Cell Tumor of Ovary (GCT) – A Practical Approach
Abstract: Granulosa cell tumor (GCTs) are a rare group of tumors constituting less than 5% of all ovarian tumors and account for more than 70% of the sex cord-stromal tumors. They present with features of hypere-strogenism and are characterized by a good response to surgery but are notorious for late recurrences. Lifelong surveillance with serial clinical examination and tumor markers is advised. Adjuvant therapy, usually with BEP, is offered in high-risk …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 2, Issue 1, 2013 · pp. 1–5 Read article
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Prevalence of Benign Anorectal Diseases in Patients Consulting a General Surgeon
Abstract: Background: Benign anorectal diseases are largely underestimated in surgical practice. Studies have shown that patients conceal anal symptoms leading to late diagnosis and treatment. The aim of this study was to assess the prevalence of proctological symptoms in patients consulting a surgical clinic which constitute approximately 15% of the surgical outpatient load. Methods: In this observational study, all adult patients consulting the surgical clinic at a peripheral hospital in Nasik, …
Published in Research and Reviews : Journal of Surgery · Vol. 8, Issue 1, 2019 · pp. 19–24 Read article
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Survey on Retinal OCT Image Preprocessing, Segmentation, and Deep Learning Based Classification
Abstract: Optical coherence tomography (OCT) is a non-invasive technique that generates high-resolution, detailed cross-sectional images of biological tissues. By utilizing low-coherence interferometry, OCT enables visualization of tissue microstructure with micron-scale resolution, making it useful in various medical fields such as ophthalmology, cardiology, and dermatology. In ophthalmology, OCT is extensively used for diagnosing and monitoring retinal diseases like macular degeneration and diabetic retinopathy, allowing doctors to assess changes in tissue morphology over …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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The Early Brain Hemorrhage Prediction System Using Machine Learning
Abstract: Brain hemorrhage is a critical medical emergency that requires immediate attention, as delays in diagnosis can result in severe neurological damage or death. The condition involves bleeding within or around brain tissues, leading to increased intracranial pressure and disruption of normal brain function. Although imaging techniques such as CT scans and MRI provide accurate diagnosis, their availability is limited in emergency and rural settings. In recent years, machine learning has …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 Read article
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A Review on Transforming Patient Pathways: The Impact of Pharmaceutical Software on Drug Manufacturing and Safety Monitoring
Abstract: The development, production, and safety monitoring of pharmaceuticals are being revolutionized by incorporating digital technologies. Throughout drug lifecycles, pharmaceutical software which includes cloud-based systems, automation, data analytics, and artificial intelligence (AI) has emerged behind efficiency and innovation. Real-time monitoring, predictive maintenance, and process optimization are made possible in manufacturing by software tools like Digital Twins, Manufacturing Execution Systems (MES), and Quality Management Systems (QMS). These technologies improve batch consistency, lower …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 40–46 Read article
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Advances in Simulation and Surgical Skill Training Evolution: Narrative Integrative Review
Abstract: Simulation-based education has emerged as a cornerstone of contemporary general surgery training, driven by increasing emphasis on patient safety, competency-based education, and rapid technological innovation. Traditional apprenticeship models, while foundational, are constrained by reduced operative exposure, work-hour limitations, and variability in clinical case mix. In this context, simulation provides a structured, reproducible, and safe environment for acquisition, assessment, and refinement of surgical skills across the training continuum. This narrative review …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 1, 2026 · pp. 7–13 Read article
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Risk & Opportunities in Development of new Drugs: A New Perspective
Abstract: The procedures of drug discovery and development are briefly described in this article. Our goal is to assist researchers whose work may be pertinent to the discovery and/or development of new drugs in framing their research reports in a way that appropriately situates their findings within the drug discovery and development process and supports the efficient translation of preclinical research to humans. One overarching theme of our article is the …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 2, 2024 · pp. 19–28 Read article
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A Study to Evaluate the Effectiveness of Planned Teaching Program on Diabetic Management Regarding Knowledge and Practice Among Patients with Diabetes Mellitus at Selected Taluk Government Hospital, Kollegala
Abstract: Diabetes mellitus is a chronic metabolic disorder with a growing global impact. Effective management of this condition requires not only medical intervention but also comprehensive patient education. This study was conducted to evaluate the effectiveness of different diabetes education methods on improving metabolic control, body mass index (BMI), and blood pressure among diabetic patients. The research aimed to empower individuals with diabetes by enhancing their knowledge and self-management skills. A …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 3, 2025 · pp. 19–28 Read article