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1940 articles for “pre” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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The Burden of Empirical Therapy: Analyzing the Predominance of Broad-Spectrum Antibiotic Usage in Lower Respiratory Tract Infections
Abstract: Lower respiratory tract infections (LRTIs) remain one of the leading causes of morbidity and hospitalization worldwide, particularly among older adults, immunocompromised individuals, and patients with chronic respiratory disorders. These infections include conditions such as community-acquired pneumonia, hospital-acquired pneumonia, bronchitis, and acute infective exacerbations of chronic lung disease, all of which often require rapid clinical intervention. Because microbiological confirmation of the causative pathogen frequently takes 48–72 hours, clinicians generally initiate empirical …
Published in International Journal of Antibiotics · Vol. 3, Issue 2, 2026 Read article
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Evaluation of Drug Utilization Patterns and Prescription Trends in Patients with Hypothyroidism and Hyperthyroidism in a Tertiary Care Hospital
Abstract: Background: Endocrine disorders affecting the thyroid gland represent some of the most frequently encountered conditions globally, necessitating prolonged therapeutic intervention and vigilant clinical surveillance. The evaluation of Drug utilization patterns (DUE) serves an essential function in examining prescriptive behaviours and promoting appropriate pharmaceutical management. Objective: To evaluate drug utilization patterns, prescribing trends, and rationality of therapy in patients with hypothyroidism and hyperthyroidism. Methods: A prospective, cross-sectional observational investigation was performed …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 2, 2026 · pp. 1–5 Read article
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Pregnancy Outcomes on Chronically Hemodialyzed Women in Arab World: A Systematic Review
Abstract: Pregnancy carries a major risk of difficulties, as highlighted by the present systemic study on pregnancy outcomes in persistently hemodialyzed women in the Arab world. The objective of this systematic review was to describe the pregnancy outcomes among chronically hemodialyzed pregnant women in Arab countries in terms of the incidence of pregnancy among women on maintenance hemodialysis and the incidence of maternal and fetal complications of pregnant women on hemodialysis. …
Published in International Journal of Midwifery Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 25–36 Read article
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Data Handling Algorithms for the Healthcare System for the Prediction of Diabetes in Health Data Science (HDS): A Review Report
Abstract: In recent years, diabetes has become the biggest disease in different countries around the world. This disease is caused by adulteration in food ingredients, unhealthy food habits, a lack of physical exercise, and changing the lifestyle every time without a routine chart. The main objective of this review paper is to provide a proper understanding of the machine learning algorithm used in the healthcare system to handle diabetic patients' data. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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The Role of IoT in Sustainable Agriculture: Leveraging Big Data for Precision Farming
Abstract: Precision farming combined with the Internet of Things (IoT) is transforming the agricultural industry by boosting productivity and encouraging sustainable practices.. This paper explores the transformative impact of IoT technologies on modern agriculture, focusing on how big data analytics can be leveraged to optimize farming practices, reduce waste, and conserve resources. The Internet of Things (IoT) offers real-time data on a range of agricultural characteristics, including soil moisture, temperature, humidity, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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Impact of Nutritional Practices and Food Taboos on Pregnant Women in India: A Comprehensive Review
Abstract: Pregnancy marks a pivotal period in a woman's life, requiring careful dietary management to ensure the health of both mother and child. This comprehensive review investigates the nutritional conditions and food taboos encountered by pregnant women in India, exploring the complex relationship between socio-economic factors, cultural beliefs, and dietary practices. Despite India's economic growth, issues like poverty and undernutrition continue to pose risks, particularly for women from lower socio-economic backgrounds. …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 2, 2024 · pp. 15–22 Read article
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Predicting Multiple Diseases Using Machine Learning: A Data-Driven Approach
Abstract: The increasing prevalence of chronic and life-threatening diseases highlights the need for innovative healthcare solutions that enable early detection and proactive management. The Multiple Disease Prediction Platform is a web-based system utilizing machine learning (ML) and deep learning (DL) algorithms to analyze user-inputted health data, generating real-time predictions of potential health risks. By leveraging Python’s Streamlit library, the platform provides an interactive and accessible diagnostic experience, eliminating the need for …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 16–35 Read article
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Knowledge Enhancement Through Breast Cancer Education Among B.Sc. Nursing Students: A Pre-Experimental Study
Abstract: Background: Breast cancer continues to be a major global public health concern. Timely detection and proper management play a vital role in reducing morbidity and mortality. Nursing students must have sufficient knowledge to provide effective community education and deliver quality care. Aim: This study aims to evaluate the effect of a structured teaching program on improving the knowledge of nursing students. Method: The quantitative research approach with pre-experimental research design …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 23–27 Read article
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Optical Fibre Pressure Sensor in Medicine: A Study
Abstract: In the intricate landscape of human health, precise measurement of physiological parameters is paramount for accurate diagnosis, effective treatment, and continuous patient monitoring. Among these vital parameters, pressure plays a critical role – from the subtle pulsatile rhythm of blood flow to the immense force of an intracranial hemorrhage. For decades, traditional electronic pressure sensors have served this purpose, yet they often come with inherent limitations: concerns about electrical interference, …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 3, 2025 · pp. 18–27 Read article
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A Cross-Sectional Study to Find Out the Incidence and Associated Risk Factors of Pressure Injury Acquired in the ICU Unit at Pt. B.D. PGIMS, Rohtak
Abstract: Pressure injuries, also known as pressure ulcers or bedsores, remain a major concern in intensive care units (ICUs) due to their adverse impact on patient outcomes and healthcare quality. This study aimed to assess the incidence and associated risk factors of pressure injuries among patients admitted to the ICU at Pt. B.D. Sharma Post Graduate Institute of Medical Sciences (PGIMS), Rohtak. A descriptive cross-sectional design was adopted, and data were …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 7–41 Read article
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Overview AI-Driven Antenna Technologies and Privacy- Preserving Methods for Next-Generation 6G Wireless Systems
Abstract: The next generation of wireless communications, 6G, will be built on the convergence of artificial intelligence (AI) and advanced antenna systems. AI-driven antennas are poised to address the unprecedented requirements for data rate, reliability, adaptability, and ubiquity in future networks. An overview of current advancements in AI-enabled antenna systems for 6G networks is provided in this study. From traditional base station deployments to distributed, cell-free, and user-centric frameworks, it examines …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 1, 2026 · pp. 28–34 Read article
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AI-Based Early Diagnosis & Prevention of Diabetes
Abstract: The worldwide burden of Diabetes Mellitus, especially Type 2 diabetes (T2D) has escalated to a critical level. Early detection of diabetes is essential to reduce long‑term complications and healthcare costs. This study explores the use of artificial intelligence (AI) techniques to improve the early diagnosis and prevention of diabetes. We developed an AI model using the Random Forest algorithm, the model predicts diabetes risk based on clinical and lifestyle variables …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Mass Spectrometry–Based Phosphoproteomic Markers to Predict Kinase Inhibitor Response in Solid Tumors
Abstract: Mass spectrometry-based phosphoproteomics has emerged as a powerful tool for predicting kinase inhibitor responses in solid tumors, offering direct functional insights into signaling pathways that surpass traditional genomic profiling by capturing dynamic kinase activities and adaptive resistance mechanisms. Technological breakthroughs, including data- independent acquisition (DIA), trapped ion mobility spectrometry (timsTOF), and efficient enrichment methods like TiO2 or IMAC, now enable comprehensive profiling of over 40,000 phosphorylation sites from limited clinical …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 2, 2026 Read article
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Digital Techniques for Preserving Cultural Heritage
Abstract: Digital heritage includes cultural materials that are available in digital form or have been transformed into digital formats so that they can be preserved and accessed over a long period of time. It represents valuable cultural content that technology helps to store, protect, and share with present and future generations. With the rapid expansion of digital technologies, cultural expressions and historical records are increasingly being created, shared, and stored through …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 10–14 Read article
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A Study to Assess the Effectiveness of a Structured Teaching Plan on Knowledge Regarding Premenstrual Symptoms Among Early Adolescent Girls in Selected Schools of Agra
Abstract: Premenstrual symptoms are commonly experienced by many women and can have a considerable impact on their everyday functioning and overall well-being. These symptoms involve physical, emotional, and behavioral changes that occur during the luteal phase of the menstrual cycle, with different levels of severity. The present study was conducted to evaluate the effectiveness of a structured teaching plan on knowledge regarding premenstrual symptoms among early adolescent girls in selected schools …
Published in International Journal of Midwifery Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 45–65 Read article
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Teen Pregnancy in the Event of a Pandemic: A short commentary
Abstract: There is a strong correlation between the COVID-19 epidemic and an increase in rates of child marriage and teenage pregnancies around the world. In sub-Saharan Africa, an estimated 608,000 additional girls are at danger of child marriage and 542,000 additional girls are at risk of early pregnancy. A mother's health, as well as the economy and society at large, may suffer if an adolescent decides to get pregnant. Due to …
Published in Research and Reviews: A Journal of Health Professions Read article
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A Study to Assess the Effectiveness of Video-assisted Teaching Programme on Knowledge Regarding Prevention and First Aid Management of Snakebite Among Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) Workers in Selected Areas at Wayanad
Abstract: This study aimed to assess the impact of a video-assisted instructional program on the awareness of snake bite prevention and first aid practices among MGNREGS workers in Meppadi Panchayath, Wayanad. Using a quasi-experimental one-group pre-test post-test research approach, the study included 60 participants selected through convenient sampling. The participants' demographics revealed a varied distribution, with the majority falling within the 36–45 year age bracket (35%) and having an educational background …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 1, Issue 2, 2023 · pp. 9–13 Read article
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A Hybrid Machine Learning Approach for Cardiovascular Disease Prediction
Abstract: Heart disease ranks among the top causes of death globally. Accurately predicting cardiovascular conditions has become a key challenge in the realm of clinical data analysis. It has been shown that machine learning is an effective means of assisting with predicting and decision-making based on the large volume of data produced by the medical industry. In this study, we describe a unique approach that increases the prediction accuracy of heart-related …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 69–75 Read article
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Descriptive Study to Evaluate Attitudes Toward Teenage Pregnancy Among Nursing Students in a Selected College in Virudhunagar
Abstract: This study aimed to explore the attitudes of nursing students toward teenage pregnancy, focusing on a specific college in Virudhunagar. A purposive sampling technique was employed to select 50 participants using non-probability sampling methods. Data were gathered through a structured questionnaire based on a 5-point Likert scale, comprising 10 statements with response options ranging from "strongly disagree" to "strongly agree." The data collected were systematically organized, tabulated, and analyzed using …
Published in International Journal of Midwifery Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 22–27 Read article
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Effects of Kangaroo Mother Care on the Physiological, Behavioral, and Psychosocial Outcomes of Preterm Infants in Various Hospitals in Karnataka
Abstract: Background: Kangaroo mother care (KMC) is a technique that encourages skin-to-skin contact, offering various physiological, behavioral, and psychosocial benefits for preterm infants. The objective is to assess the impact of KMC on the physiological, behavioral, and psychosocial development of premature babies. Study Design: This was a quasi-experimental research investigation. Materials and Methods: A purposive sample of sixty premature infants and their mothers was drawn from neonatal intensive care units (NICUs) …
Published in International Journal of Women's Health Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 10–19 Read article