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Entdecken Sie tatsächlich neu veröffentlichte Arbeiten aus Medizin, Pflege, Therapie, Public Health und Life Sciences. Sortiert nach Publikationsdatum, nicht nach Zitierhäufigkeit.

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24 neue Nachweise auf dieser Seite Publiziert in den letzten 30 Tagen Neueste zuerst Crossref DOI
28.08.2026journal-article

Journal of Primary Care Dentistry and Oral Health

Salivary Metabolomics for Oral Squamous Cell Carcinoma Detection: An Indian Perspective

Raghuram Manickam, Vijaya Nirmala Subramani

Abstract Salivary metabolomics has emerged as a promising noninvasive approach for the early detection of oral squamous cell carcinoma (OSCC), enabling the identification of tumor-associated metabolic alterations with potential diagnostic value. Recent systematic reviews and meta-analyses have demonstrated encouraging diagnostic accuracy for salivary metabolites, particularly lactate, choline, and phenylalanine. However, the applicability of these biomarkers to high-burden populations such as India remains inadequa …

28.08.2026journal-article

Hacettepe University Faculty of Health Sciences Journal

Depression and Anxiety in Women Undergoing Therapeutic Abortion: The Effect of Spirituality

Nuray Kurt, Nurdilan Şener Çetin, Ayşegül Demirelli

Objective: This study was conducted to determine the relationship between depression, anxiety, and spirituality levels in women who underwent therapeutic abortion.Materials and Methods: The sample of this descriptive and cross-sectional study consisted of 140 women who underwent therapeutic abortion in a province in eastern Turkey. Data were collected using the “Socio-demographic Form,” “Spirituality Scale,” and “Hospital Anxiety and Depression Scale (HAD).” Cronbach Alpha internal consistency tests, numbers, perce …

28.08.2026journal-article

PLOS Global Public Health

Centers and peripheries: Spatial analysis of social inequalities in health in Antioquia, 2017–2023

Gino Montenegro-Martínez

This study aims to analyze the performance and geographical distribution of health indicators in relation to social indicators in the municipalities of Antioquia. An ecological cross-sectional study was conducted using data on health outcomes, social indicators, and institutional capacity of the municipalities of the department for the period 2017–2023. The analysis was performed using global and local Moran’s I statistics in order to identify the spatial correlation between health and social indicators . The globa …

28.08.2026journal-article

PLOS Digital Health

Artificial intelligence-driven study selection in systematic reviews of randomized controlled trials, emulated trials and economic evaluation studies using large language models

Panu Looareesuwan, Wanchana Ponthongmak, Amarit Tansawet, Cholatid Ratanatharathorn, Habib ur Rehman Owasi, Gareth J. McKay, John Attia, Takehiko Oami, Ammarin Thakkinstian

Systematic reviews (SRs) are key to evidence-based medicine but are often labor-intensive, especially in the study selection step. This study assessed the use of large language models (LLMs) to automate SR study screening and selection. Five SR projects were included: two published therapeutic SRs (SR1–2), two ongoing emulated-trial SRs (SR3–4), and one economic evaluation SR (SR5). The total number of studies screened for each SR was 3,966, 3,147, 695, 3,096 and 485, respectively, with 20, 24, 46, 32 and 70 eligib …

28.08.2026journal-article

Andrology

Male Sexual and Reproductive Health in Diabetes and Obesity Pharmacotherapy: A Source‐Triangulated Counseling Map

Marek Broul, Michal Dubský, Aneta Hujová, Michaela Liegertová

ABSTRACT Background Drugs used for diabetes and obesity increasingly shape male sexual and reproductive counseling, but clinical studies, trial registrations, regulatory labels, and patents answer different questions. Objectives The objective is to map these sources and define what each can support when counseling men receiving metabolic drugs. Materials and Methods We reviewed human studies, ClinicalTrials.gov records, FDA/EMA labels, and selected patent or pipeline documents using source‐specific eligibility crit …

28.08.2026journal-article

EDUTECH : Jurnal Inovasi Pendidikan Berbantuan Teknologi

PENGEMBANGAN PERMAINAN ULAR TANGGA DIGITAL BERBANTUAN GENIALLY TERHADAP PEMAHAMAN MATEMATIS SISWA SMP

Gilang Darmawan, Hepsi Nindiasari, Ade Nandang Mustafa

Junior high school students' mathematical concept understanding of Systems of Linear Equations in Two Variables (SPLDV) remains relatively low, partly due to the limited use of interactive learning media. This study aimed to develop a Genially-assisted digital snakes-and-ladders learning medium called Snake Math Go and to determine its validity, practicality, and the improvement in students' mathematical concept understanding after using the medium. This study employed a Research and Development (R&D) approach usin …

28.08.2026journal-article

Russian Journal of Clinical Dermatology and Venereology

LYVE-1 expression in skin in necrotizing necrobiosis lipoidica

N.N. Svechnikova, S.V. Michurina, V.I. Konenkov, I.Yu. Ishchenko, S.A. Arkhipov, V.V. Arkhipova

Background. The mechanisms underlying skin structural changes in necrobiosis lipoidica (NL), which has a torpid course, remain unclear. The role of the lymphatic system and the significance of the LYVE-1 receptor in the etiology and pathogenesis of NL have not been studied. Objective. To evaluate LYVE-1 expression in skin with necrotizing NL. Materials and methods. Clinical observation, detection of the LYVE-1 marker in histological skin sections using immunohistochemistry were used. Results. A decrease in the expr …

28.08.2026journal-article

Bleeding, Thrombosis and Vascular Biology

Clinical characteristics, prescription patterns and clinical outcomes of patients with extended therapy with direct oral anticoagulants for unprovoked venous thromboembolism.

Alicia Lorenzo, Carmine Siniscalchi, Silvia Natalia Morales, Teresa Sancho, Reina Valle, Aida Gil-Diaz, Parham Sadeghipour, Patricia Sigüenza, Manuel Monreal, The RIETE Investigators

Background: Extended therapy with direct oral anticoagulants (DOACs) is common for managing unprovoked venous thromboembolism (VTE), but real-world data on dosing decisions and their association with outcomes are limited. Methods: From April 2013 to September 2023, we identified patients with unprovoked VTE in the RIETE registry who survived the first 6 months without recurrent VTE or major bleeding. We examined predictors of reduced- vs. full-dose DOACs (rivaroxaban or apixaban), and the association between dosing …

28.08.2026journal-article

Frontiers in Computing and Intelligent Systems

Artificial Intelligence-Based Web Attack Detection: A Survey of Machine Learning, Deep Learning, Transformer and Large Language Model Approaches

Haiyang Wang, Yuejin Zhang

Web services are now pervasive in almost all industries, but this has made them a major target for hackers. Traditional signature-based solutions are no longer effective against zero‑day and polymorphic threats that evolve rapidly. The much heralded game‑changer is artificial intelligence (AI) particularly deep learning and more recently large language models. But the literature is fragmented: CNNs learn local features, Transformers capture long-range dependencies, and LLMs offer semantic understanding - yet each s …

28.08.2026journal-article

Artificial Organs

Texture Analysis Using Indocyanine Green Fluorescence Measurement During Porcine Hypothermic Oxygenated Machine Perfusion

Yuga Okazawa, Hiromichi Obara, Taiki Mori, Satoshi Muto, Mio Takashima, Masafumi Furukawa, Hiroki Kaneko, Tetsuya Nakajo, Shohei Ishizawa, Seisuke Sakamoto, Naoto Matsuno

ABSTRACT Background Development of novel organ viability assessment methods during MP under hypothermic conditions is important to expand the donor pool with DCD donors for transplantation. This study proposed a novel quantitative method using Indocyanine Green (ICG) fluorescence image for assessing organ viability during hypothermic oxygenated machine perfusion (HOPE), specifically focusing on homogeneous flow distribution analyzed with the gray‐scale level co‐occurrence matrix (GLCM) method, which is one of the m …

28.08.2026journal-article

Asia Pacific Economic and Management Review

Research on the Application of Artificial Intelligence Technology in Logistics Route Optimization

Chenyu Lin

The global trade environment has become complex and the demand for end-point distribution has significantly increased. The traditional logistics scheduling model cannot handle large amounts of data or adapt to changes in the dynamic environment. This paper analyzes the application methods of artificial intelligence technology in the vehicle routing problem VRP. By analyzing the internal mechanisms of deep reinforcement learning, graph neural networks, and hybrid heuristic algorithms, a model for multi-objective dyn …

28.08.2026journal-article

ARACÊ

INDIRECT RESTORATION OF A CENTRAL INCISOR USING A CAD/CAM-MILLED RESIN: A CLINICAL CASE REPORT

Guilherme Miguel Moreira De Oliveira, Ana Karolina Peters, Letícia Silva De Andrade, Emily Dutra Amaral Meggiolaro Guimarães Veiga, Alice Quirino Itaborahy, Sebastião Diogo Fiochi Almeida Matozo, Laura Gábrio Gomes Duarte, Amanda Andrade Pitman, Maurício Verissimo Pereira, Valdir Cabral Andrade, Fabíola Pessôa Pereira Leite

The aesthetic restoration of anterior teeth presents a challenge in restorative dentistry due to the need to harmoniously reproduce optical, morphological and functional characteristics. In this context, CAD/CAM-milled composite resin indirect restorations offer a conservative, predictable and cost-effective alternative. This paper reports the clinical case of a patient who sought treatment following the fracture and loss of a veneer on the left upper central incisor. Given the aesthetic demands of the case and the …

28.08.2026journal-article

Scientific Journal Of Humanities and Social Sciences

A Study on the Employment Status of Vocational College Graduates in the Era of Artificial Intelligence

Lijun Deng, Xue Huang

Artificial intelligence (AI) is changing the kinds of jobs available and the skills expected from new employees. These changes are especially relevant to vocational education, where training is closely tied to workplace needs. This paper examines the employment situation of vocational college graduates and considers whether AI literacy, practical skills, and adaptability are related to employability. A questionnaire was distributed to 320 graduating students from five vocational colleges, and 298 usable responses w …

28.08.2026journal-article

Yassawi Journal of Health Sciences

DURVALUMAB FOLLOWING SEQUENTIAL MULTIMODAL TREATMENT IN LIMITED-STAGE SMALL-CELL LUNG CANCER: A REAL-WORLD CASE REPORT OF SYMPTOM CONTROL AND FUNCTIONAL IMPROVEMENT

A. Abdrashov, A. Akter, N. Nurdinov, S. Almetov, D. Musirali, Y. Yeltay, A. Seisenbay

Durvalumab is an evidence-based consolidation option for limited-stage small-cell lung cancer without progression after concurrent platinum-based chemoradiotherapy. Real-world care may involve sequential treatment, adapted dosing, interruptions, and limited follow-up imaging. Aim. To describe symptoms, functional recovery, treatment exposure, and safety after durvalumab following sequential platinum-etoposide chemotherapy and thoracic radiotherapy. Materials and Methods. This CARE-compliant report reviewed the clin …

28.08.2026journal-article

Health Information Management Journal

Health information technology use in clinical practice and implications for implementation: Examples from Canberra Health Services, Australia

Chelsea Liu, Rosemary Wyber, Uday N. Yadav, Rohan Essex, Paul Dugdale

Background: Health information technology (HIT) has advanced rapidly over the past two decades, yet digital transformation in healthcare remains difficult and lags behind many other sectors. Existing literature suggests that implementation outcomes are context-dependent and may vary across settings, limiting the feasibility of universal standardisation. Objective: Building on this broader literature, this study examines three contrasting HIT implementations at Canberra Health Services (CHS), Australia, to address t …

28.08.2026journal-article

World Electric Vehicle Journal

Improved Modeling and Parameter Optimization of Li-Ion Batteries for Electric Vehicles Using Artificial Lemming Algorithm

Badis Lekouaghet, Mohamed Benghanem

In electric vehicles (EVs), the battery management system (BMS) plays a central role in ensuring safe, efficient, and reliable battery operation under varying driving and environmental conditions. The effectiveness of a BMS largely depends on the availability of an accurate battery model, whose performance is strongly influenced by the precision of its identified parameters. However, estimating these parameters remains a difficult nonlinear optimization problem, especially under low state of charge (SOC) operation. …

28.08.2026journal-article

Clinical Medicine (Russian Journal)

Consequences of allostatic load in chronic combat stress

M. B. Patsenko, E. G. Ichitovkina, A. G. Likholetov, M. I. Pugachev, O. Yu. Patsenko

Relevance. Chronic combat stress (CCS) is a special form of long-term stress exposure associated with the formation of initially borderline functional states, subsequently remote mental and somatic disorders in war veterans. Current data indicate the systemic nature of these disorders in the form of the formation of pre-clinical manifestations and going beyond isolated mental pathology. Objective. Systematic analysis and meta-analytic evaluation of longitudinal studies devoted to the remote mental and somatic conse …

28.08.2026journal-article

JUCS - Journal of Universal Computer Science

A Proactive Fault Tolerance Approach for Saga Transactions in Microservices Using a Health Prediction Model

Jiangke Wu, Xiaojun Chen, Rongxing Shi

The Saga pattern guarantees eventual consistency in microservices but depends on passive post-failure compensation, resulting in resource inefficiency and possible data discrepancies. This study introduces the ”Proactive Saga Failure Avoidance (PSFA)” system, which incorporates deep learning-based health evaluation into the Saga orchestrator. The platform employs an LSTM model to monitor real-time service metrics, enabling the prediction of imminent failures prior to transaction execution. Upon detectio …

28.08.2026journal-article

Frontiers in Public Health

More is not always better: longitudinal associations and nonlinear dose–response relationships between physical activity, psychological capital, and positive body image among Chinese university students

Yi Li, Xi Chen

Objective This study examined the longitudinal associations between physical activity (PA), psychological capital (PsyCap), and positive body image, operationalized as body appreciation, among Chinese university students. We further evaluated the mediating role of PsyCap and explored potential nonlinear dose–response relationships between different dimensions of PA and body appreciation. Methods A two-wave longitudinal survey with a three-month interval was conducted among 669 university students from four universi …

28.08.2026journal-article

International journal of health sciences

Barriers and supporters of home care implementation for the elderly in developing countries: A scoping review

Sulardi Sulardi, Nila Alfa Fauziah, Novalia Efrianty

Home care is an approach that has the potential to support aging in place, but its implementation faces various barriers at the individual, family, health worker, community, organizational, financing, and policy levels. This scoping review aims to map evidence on barriers and supporting factors for the implementation of home care for older adults in developing countries in the literature over the past ten years. The scoping review uses the Joanna Briggs Institute (JBI) framework and the PRISMA-ScR reporting princip …

28.08.2026journal-article

Clinical and Translational Medicine

Venetoclax for elderly patients with acute myeloid leukaemia unfit for intensive chemotherapy: Prospects, resistance mechanisms and management strategies

Jinlin Zhang, Jile Liu, Mohan Zhao, Xiaoyu Zhang, Linlin Liu, Mengnan Li, Changze Cao, Rui Zhang, Mingfeng Zhao

Abstract To date, the treatment of acute myeloid leukaemia (AML) remains a major challenge in hematologic malignancies, particularly among elderly patients who are unfit for intensive chemotherapy. Venetoclax, a BCL‐2 inhibitor, in combination with azacitidine, has significantly improved the prognosis and survival of this patient population. However, approximately 30% of patients do not respond to venetoclax‐based combination regimens, and most initial responders eventually experience relapse. Therefore, resistance …

28.08.2026journal-article

Revista Tópicos

TECNOLOGIAS EMERGENTES NO ENSINO DE LÍNGUA E LITERATURA: INTELIGÊNCIA ARTIFICIAL, MULTILETRAMENTOS E PRÁTICAS INTERCULTURAIS NA EDUCAÇÃO BÁSICA

Anna Caroline Machado Guedes, Fernanda Freitas de Araújo, Humberto Henrique Chaves Faria, José Cordeiro Neto, Ricardo Augusto Sousa de Andrade, Roberto Lister Gomes Maia, Sérgio Messias Ferreira

Este artigo discute as relações entre tecnologias emergentes, ensino de língua e literatura e formação linguística na Educação Básica, com ênfase em três eixos complementares: inteligência artificial generativa, multiletramentos e práticas interculturais. Parte-se do entendimento de que a presença de plataformas digitais e sistemas de geração automática de linguagem altera as condições de produção, circulação e interpretação de textos, ao mesmo tempo em que amplia a necessidade de desenvolver autoria, criticidade, …

28.08.2026journal-article

Discover Artificial Intelligence

An explainable hybrid of classical and quantum support vector machine models for maternal mental health risk prediction using multicountry data

Shallon Ahimbisibwe, Emmanuel Ahishakiye, Samuel Maling, Simon Kawuma, Richard Ntwari, Boaz Twinamasiko, Fred Kaggwa

Abstract Maternal mental health disorders remain a major public health problem, particularly in low- and middle-income countries, where limited mental health resources and inadequate screening systems lead to late diagnosis and intervention. Recent advances in artificial intelligence have demonstrated great potential in improving the prediction of early maternal mental health risks. However, most current methods are limited to traditional machine learning models and lack interpretability. This study introduces the …