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European Health Evidence

The European alternative to PubMed

EUVIMED is the European alternative to PubMed: a central, multilingual research platform for medicine, nursing, life sciences and healthcare. It brings together international and European literature sources, study registries, open-access full texts, citations and retraction notices in one search. Unlike pure bibliographic databases, EUVIMED supports the entire research process – from discovery and appraisal with LIVIA and CLARA to traceable evidence synthesis. European in focus, transparent, interoperable and designed for science and healthcare.

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EUVIMED Themenbrowser · Digital Health · Seite 108

Was ist neu im Gesundheitswesen?

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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Aktuelle Forschung nach Fachgebiet

24 neue Nachweise auf dieser Seite Publiziert in den letzten 30 Tagen Neueste zuerst Crossref DOI
07.09.2026journal-article

Translational Data Science for Social Impact

The Most Important Predictors of Father Involvement Among Politically Conservative Men: An Explainable Artificial Intelligence (XAI) Approach

Joyce Y. Lee, Garrett T. Pace, Hunmin Cha, Kwangman Ko, Yujeong Chang, Amy Xu

Background: Little is known about the parenting experiences and involvement of politically conservative fathers. Understanding factors predictive of father involvement in this population can inform fatherhood programs and family policies. Purpose: Guided by a heuristic model of the ecology of father-child relationships, this study explored the most important predictors of father involvement among politically conservative fathers. Methods: Data came from a national online survey of fathers who voted for Donald Trump …

07.09.2026journal-article

Pharmaceuticals

Long-Term Monitoring of Everolimus Concentrations in Routine Clinical Practice: Evaluation of Patient Percentiles as Quality Indicator and Impact of Analytical Method Change

Anders O. Larsson, Anna-Karin Hamberg, Mats B. Eriksson

Background: Everolimus, an mTOR inhibitor used in oncology and organ transplantation, requires therapeutic drug monitoring due to the narrow therapeutic range of everolimus and substantial pharmacokinetic variation. Patient-derived data can function as a supplementary quality indicator for laboratory methods by providing real-world information on analytical performance. Methods: All routine whole-blood everolimus measurements performed at Akademiska University Hospital, Uppsala, Sweden, 2012 to 2025 were retrospect …

07.09.2026journal-article

Russian Journal of Transplantology and Artificial Organs

Evaluation of the efficiency of surface modification of nonwoven matrices with various polymer compositions using a cationic amphiphile: in vitro study

L. V. Antonova, V. N. Silnikov, M. Yu. Khanova, E. O. Krivkina, E. S. Prokudina, M. S. Kolomeets, V. A. Koshelev, E. A. Torgunakova, D. A. Zadvornykh, V. M. Sakharova, E. A. Senokosova

The potential for chemical modification of the surface of matrices composed of various natural and synthetic polymers using cationic amphiphiles remains insufficiently studied. Objective : to evaluate the biocompatibility and antimicrobial properties of polyurethaneand silk fibroin-based matrices modified with 1,4-diazabicyclo[2.2.2] octane (DABCO) attached to the surface via sorption mediated by hydrophobic or electrostatic interactions. Materials and methods . Surface modification of non-woven matrices based on a …

07.09.2026journal-article

Russian Journal of Transplantology and Artificial Organs

The role of anti-HLA antibodies in the prevention, diagnosis, and management of antibody-mediated rejection after kidney transplant

A. G. Balkarov, N. V. Borovkova, Yu. A. Anisimov, N. A. Mushta, N. V. Shmarina, N. V. Doronina, V. V. Smirnova, I. V. Dmitriev

Background . The available literature contains relatively few studies investigating the role of anti-human leukocyte antigen (anti-HLA) antibodies – including pre-existing antibodies, de novo synthesized antibodies, and donor-specific antibodies (DSAs) – in the prevention, diagnosis, and treatment of acute kidney transplant (KT) rejection. Materials and methods . We evaluated the prevalence and specificity of pre-existing anti-HLA antibodies, the incidence and specificity of de novo anti-HLA antibody synthesis (inc …

07.09.2026journal-article

Russian Journal of Transplantology and Artificial Organs

The role of TGFB1 gene polymorphisms in the development of post-transplant complications and optimization of calcineurin inhibitor dosing in solid organ transplant recipients: a literature review

R. M. Kurabekova, M. S. Vlasov, O. E. Gichkun Ersin, O. P. Shevchenko

Personalization of immunosuppressive therapy based on the recipient’s genetic profile remains a major challenge in transplant medicine, with important implications for reducing adverse effects associated with immunosuppressive drugs. Optimization of immunosuppressive regimens is largely focused on determining the appropriate dose of the calcineurin inhibitor tacrolimus (Tac), which serves as a key component of maintenance immunosuppressive therapy. A promising approach to this challenge is the identification of nov …

07.09.2026journal-article

Journal of Pharmaceutical Health Care and Sciences

A qualitative exploration of regulatory landscape and stakeholder insights on the online sale of medicines in Pakistan

Muhammad Atif, Amna Shams, Muhammad Akhtar Abbas Khan, Saima Asghar

Abstract Objective This study aimed to gather insights into the perceptions and experiences of the general public and community pharmacists regarding E-pharmacies. Additionally, data from healthcare regulators were used to explore the current regulatory framework for E-pharmacies in Pakistan, outline the challenges and provide future recommendations for the monitoring and regulation of these online platforms. Methods This was a qualitative study that involved three key stakeholders’ groups, including general public …

07.09.2026journal-article

American Journal of Clinical Oncology

Low Dose Radiotherapy for the Treatment of Inflammatory Periarticular Disorders

Austin N. Kirschner, Bobby Koneru, Suzanne Russo, Tracy M. Paul, Phillip Bennion, Samuel Jean-Baptiste, Christien Kluwe, Diane C. Ling, Neil Newman, Kevin Pearlstein, Nick Scarcella, Stephen Schaff, Rebecca Senehi, Yasamin Sharifzadeh, Rahul Tendulkar, Austin Dove

Objectives: To summarize the current evidence for low-dose radiation therapy (LDRT) in the treatment of inflammatory periarticular disorders (PAD) (tendinitis, enthesitis, fasciitides, and bursitis), including patient selection, optimal RT technique, and associated risks. Methods: A systematic literature review was designed using the Population, Intervention, Comparator, Outcome, Timing, and Study Design (PICOTS) framework and was assessed using the Cochrane and PRISMA methodologies. Eligible studies included prosp …

07.09.2026journal-article

Indonesian Journal of Health Science

The association between Interleukin-6 and C-Reactive Protein in Covid-19 patients

Cici Nuriah, Anang Rizky Maulana, Faradiyan Kencana

Background: Coronavirus Disease 2019 (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), is characterized by an excessive inflammatory response that may lead to cytokine storm and worsening clinical outcomes. Interleukin-6 (IL-6) is a major pro-inflammatory cytokine that stimulates the production of C-reactive protein (CRP), making both biomarkers useful for assessing the inflammatory response in patients with COVID-19. Objective: This study aimed to determine the association between …

07.09.2026journal-article

Jurnal Pendidikan Dasar dan Menengah

Digital Technology Integration Strengthens Creative Fluency Elaboration and Literacy in Primary School Music Extracurriculars

Donny Prasetyo, Andi Kristanto, Ika Rahmawati

The accelerating digitalization of education requires a systematic evaluation of how technology reshapes creative learning in primary school music programs. This study employs a Systematic Literature Review guided by the PRISMA 2020 protocol to examine the influence of digital hardware and software integration within primary school music extracurriculars on students’ creativity and digital literacy. Forty-eight peer-reviewed articles indexed in Scopus and SINTA, published between 2022 and 2025, were synthesized usi …

07.09.2026journal-article

Children

Longitudinal Change and Tracking of Health-Related Physical Fitness in Adolescents Aged 12–16 Years: A Structured Narrative Review

Souhail Bchini, Dhouha Moussaoui, Abedelmalek Kalefh Tabnjh, Anissa Bouassida, Nadhir Hammami, Fatma Hilal Yagin

Background/Objectives: The period between 12 and 16 years of age coincides with peak pubertal change, declining habitual physical activity, and the consolidation of lifelong behavioral patterns, making it a critical window for understanding how fitness develops and how stable (or unstable) it is over time. This review aims to synthesize longitudinal evidence addressing how HRPF changes and tracks in adolescents aged approximately 12 to 16 years, the sex- and maturation-related modifiers of these patterns, the metho …

07.09.2026journal-article

Journal of Clinical Medicine

Knee Osteoarthritis and Metabolic Disorders: Practical Aspects from Primary Healthcare

Natalia Kasprzyk, Paweł Jagielski, Marta Stelmach-Mardas, Ewa Lucka, Ewelina Kowynia, Bogna Grygiel-Górniak

Background/Objectives: Knee osteoarthritis (KOA) is one of the most common musculoskeletal disorders worldwide, causing pain and disability. In addition to mechanical overload, increasing evidence suggests that metabolic disorders and abdominal obesity may contribute to the pathogenesis and progression of OA through mild inflammation and metabolic dysregulation. Methods: This cross-sectional, single-center study included 108 patients with radiologically confirmed KOA and 33 control subjects aged 45–80 years. KOA se …

07.09.2026journal-article

Aptisi Transactions on Technopreneurship (ATT)

Digital Green Strategies Driving Sustainable Competitive Advantage in Agripreneurial SMEs

Andriyansah Andriyansah, Fatia Fatimah, Venty Fitriany Nurunisa, Ninda Lutfiani, Carlos Perez

Achieving Sustainable Competitive Advantage (SCA) for green agricultural products in demanding international markets, particularly Europe, requires strategic integration beyond conventional marketing approaches. Although green branding and digital marketing have been widely recognized, the synergistic mechanism through which digital strategies, green value propositions, and market penetration collectively strengthen SCA remains underexplored. This study aims to develop and validate an integrated model that explains …

07.09.2026journal-article

AI Chemistry

Artificial Intelligence in Scalable Materials Synthesis and Manufacturing

Nagababu Andraju

While Artificial Intelligence (AI) has transformed materials discovery, the primary bottleneck to technological impact remains the transition from lab-scale synthesis to robust, industrial-scale manufacturing. Most promising materials perish in this depth, which is referred as the “valley of death”. The current review consolidates and critically evaluates the emerging ecosystem of AI-driven strategies and frameworks designed specifically to bridge this “lab-to-fab” gap. The review shifts our attention from property …

07.09.2026journal-article

Business Technology & Innovation Studies Journal

The Global Value Chain of Edge Artificial Intelligence: a technological and strategic perspective

Tommaso Muciaccia, Pietro Tedeschi

Edge Artificial Intelligence is emerging as a critical paradigm that brings AI capabilities closer to data sources, addressing the limitations of cloud‑centric architectures. This paper provides a streamlined overview of Edge AI’s technological foundations (its architectures, enabling hardware, model‑adaptation methods, and distributed frameworks) highlighting how they enable low‑latency, privacy‑preserving, and context‑aware intelligence on resource‑constrained devices. It also examines the Edge AI Global Value Ch …

07.09.2026journal-article

Engineering Research Express

YOLO-PRA: a multi-scale feature fusion and adaptive optimization network for underwater seahorse health detection

Bowen Ma, Yang Li, Xianjun Fu, Ziwei Li

Abstract Curled-tail posture is an important visual cue for identifying seahorses affected by bacterial enteritis from underwater images in seahorse aquaculture. Therefore, accurate recognition of tail posture is essential for underwater seahorse health detection. However, research on this task is limited by the lack of task-specific datasets, while accurate detection is further challenged by degraded image details in underwater environments, the small and slender tail region, and class imbalance between healthy an …

07.09.2026journal-article

JOURNAL OF MONETARY ECONOMICS AND MANAGEMENT

Measuring the convergence of artificial intelligence and deep technologies: A PCA-based composite index and logistic forecastinG (2013–2050)

Anastasiya Filatova, David Guseynov, Vladislav Petrov

The article addresses the problem of measuring and forecasting the technological convergence between artificial intelligence (AI) and adjacent science-intensive domains from the perspective of innovation economics. The relevance of the task stems from a systematic gap between hype-driven narratives and the observed technological potential: public projections are predominantly linear and fail to account for saturation effects and mutual constraints related to energy supply, computing capacity and regulatory lags. Th …

07.09.2026journal-article

Reincisol.

Competencias universitarias para la era digital: pensamiento crítico, alfabetización en inteligencia artificial y aprendizaje adaptativo como pilares de la formación profesional

Carmen de las Mercedes Cevallos Méndez, Alejandro Alex Flores Suárez, Christian Edilson Ochoa Torres, Omar Venegas Quintana

La transformación digital ha cambiado la manera en que las personas aprenden, trabajan y toman decisiones, generando nuevos desafíos para la educación superior. Frente a esta realidad, las universidades deben preparar a sus estudiantes para desenvolverse en entornos influenciados por la inteligencia artificial, la automatización y la personalización del aprendizaje. Por ello, la investigación tuvo como objetivo analizar el aporte del pensamiento crítico, la alfabetización en inteligencia artificial y el aprendizaje …

07.09.2026journal-article

Journal of Rehabilitation Medicine

Inpatient rehabilitation after acute injury or illness for patients with and without mental health disorders: service utilization, functional improvement, and pain

Anja S. Sundet, Solveig L. Hauger, Ingrid A. Havnes, Nada Andelic, Caroline Ustvedt, Grethe Månum, Jeanette Kleven, Catrine Brunborg, Charles H. Bombardier, Jennie Ponsford, Marianne Løvstad

Objective: Compare rehabilitation process and outcomes between patients with and without mental health disorders. Design: Observational cohort study. Subjects: 130 patients receiving post-acute inpatient rehabilitation after acute injury or illness. Methods: Mental health disorders were assessed with diagnostic interviews. Adjusted regression analysis examined associations between mental health disorders and rehabilitation processes, func-tional improvement, pain, and patient satisfaction. Results: Patients with me …

07.09.2026journal-article

CAAI Transactions on Intelligence Technology

TriadAuth: Continuous Authentication Through Structured GUI Sequence Modelling With Drift Adaptation and Modality‐Aware Explanations

Ahmed Alzahrani

ABSTRACT Continuous authentication (CA) systems based on behavioural biometrics are increasingly deployed in zero‐trust architectures, yet their performance degrades over time due to natural behavioural drift arising from device changes, fatigue and evolving habits. This paper presents TriadAuth, a CA framework that fuses keystroke dynamics, mouse dynamics and graphical user interface (GUI) interaction sequences through hierarchical multimodal processing. TriadAuth consists of three core components: (1) a structure …

07.09.2026journal-article

Journal of Disease and Global Health

A Hybrid SEIR-SEI and ARIMA Modeling Framework to Evaluate Malaria Intervention Packages and Elimination Prospects in the Federal Capital Territory, Nigeria

Maryam Edmond, Adamu Ishaku Akyala, Melford Esuabom, Alheri Lawan Laila, Joseph Ogirima Ovosi, Mary Onoja Alexander, Mbalya Jude Rabo, Joshua Godwin, Gabriel Samuel, Ibrahim Edmond Musa, Zainab Dambazau, Cyril Ademu, Maris Raymond

Background: Despite substantial investments in malaria control, transmission remains persistent in Nigeria, including the Federal Capital Territory (FCT). Traditional mathematical models capture transmission dynamics, while time-series approaches provide short-term forecasts; however, these methods are often applied independently, limiting their ability to jointly inform intervention planning and elimination strategies. Objective: This study developed a hybrid SEIR-SEI and autoregressive integrated moving average ( …

07.09.2026journal-article

Chemical & Biomedical Imaging

Peptide-Derived [68Ga]Ga-SMIC-1014 for c-Met-Targeted Tumor PET Imaging: Preclinical and Pilot Clinical Studies

Danyi Guo, Yang Chen, Zican Feng, Renli Luo, Baozhen Zeng, Yinting Hu, Zhenxiang Li, Zhen Cheng, Dan Tian, Lei Jiang

Abstract As the mesenchymal–epithelial transition factor (c-Met) is a crucial therapeutic target for multiple malignancies, we previously developed a c-Met-targeted peptide-based positron emission tomography (PET) probe, [68Ga]Ga-SMIC-1014, derived from the Kringle 3 (K3) domain of hepatocyte growth factor (HGF). Given tumor heterogeneity, this study sought to further validate the preclinical performance of [68Ga]Ga-SMIC-1014 and evaluate its clinical value in cancer patients. [68Ga]Ga-SMIC-1014 was successfully sy …

07.09.2026journal-article

Artificial Intelligence and Emerging Technologies

Hybrid Health Indicator Based Fusion Ahead Degradation Prediction for Proton Exchange Membrane Fuel Cell

Shuiying Yu, Haolong Li, Shichuan Wang, Dongqi Zhao, Liyan Zhang, Qihong Chen

The decay state is the key indicator to reflect the health of a proton exchange membrane fuel cell (PEMFC). The existing static health indicators (HIs) fail to precisely represent the dynamic degradation of the PEMFC, resulting in low long-term forecasting precision of the data-driven methods. A hybrid HI and fusion ahead prediction method is proposed in this paper to achieve precise long-term decay prediction of PEMFC with limited data. Firstly, the RC-RLQ equivalent circuit equation is proposed to extract the pol …

07.09.2026journal-article

Journal of Midwifery & Women's Health

Neonatal Mortality Risk Among Births in Freestanding Birth Centers, 2015 to 2024

Lauren Hoehn‐Velasco, Diana R. Jolles, Raka Datta

Introduction Births in freestanding birth centers have grown over the past decade, particularly during the COVID‐19 pandemic. Whether the safety profile of birth center births has remained stable as volumes have grown is an open question. This study examines neonatal mortality risk among births in freestanding birth centers compared with births in hospitals over the period 2015 to 2024. Methods This is a retrospective observational study using public‐use US Natality Detail Files from 2015 to 2024. The primary outco …

07.09.2026journal-article

Revista Tópicos

INTELIGÊNCIA ARTIFICIAL NA ATUAÇÃO FARMACÊUTICA: POTENCIALIDADES, DESAFIOS E PERSPECTIVAS PARA A PRÁTICA PROFISSIONAL

Tiago Emanuel Pinheiro Lopes, Kaylane Ribeiro Melo, Gabrielly Soares Dias Gonçalves

A inteligência artificial (IA) tem promovido transformações significativas nas Ciências Farmacêuticas, ampliando suas aplicações em áreas como pesquisa e desenvolvimento de medicamentos, assistência farmacêutica, farmacovigilância, gestão hospitalar e processos industriais. Diante desse cenário, o presente estudo teve como objetivo analisar, por meio de uma revisão da literatura, as potencialidades, os desafios e as perspectivas da utilização da inteligência artificial na atuação profissional do farmacêutico. Trata …