A Study on the Relationship between Sense of Disease Uncertainty and Family Strength and Mental Resilience in Guardians of Children with Inflammatory Bowel Disease by Jun Yan, Lin Luo

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Welcome Note by Faisal Masud Faisal Masud

“…In today’s world of healthcare where there is an overload of information some good, some poor, and some false it is very encouraging that RMU has taken the bold step of launching JRMC International.…”
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Diagnostic yield of cystic fibrosis from a South Australian monocentric cohort: a retrospective study by Maria Fuller, Jasmina Markulić

“…Additionally, the identification of CF in this population supports the recommendation for CF genetic testing in reproductive healthcare.…”
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Development and Validation of a Simple Model to Predict the Risk of Nonmelanoma Skin Cancer on Screening Total Body Skin Examination by Rebecca I. Hartman, Yun Xue, Ryan Karmouta, Elizabeth Tkachenko, Sara J. Li, David G. Li, Cara Joyce, Arash Mostaghimi

“…The performance characteristics of the model were validated in a second data set from two healthcare institutions in the United States. Results. 8,501 patients were included. …”
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Research on Gait Recognition Based on GaitSet and Multimodal Fusion by Xiling Shi, Wenqiang Zhao, Huandou Pei, Hongru Zhai, Yongxia Gao

“…With the continuous technological progress, especially the development in biometrics, gait recognition has shown broad application prospects in healthcare (e.g., health monitoring), security (e.g., assisted identity verification), and human-computer interaction. …”
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Challenges and opportunities of artificial intelligence in African health space by Muslim A. Alaran, Salim Kamaludeen Lawal, Mustapha Husseini Jiya, Salihu Alhassan Egya, Mohamed Mustaf Ahmed, Abdullateef Abdulsalam, Usman Abubakar Haruna, Muhammad Kabir Musa, Don Eliseo Lucero-Prisno

“…The application of artificial intelligence (AI) to healthcare in Africa has the potential to transform productivity, diagnosis, disease surveillance, and resource allocation by improving accuracy and efficiency. …”
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Social robots in adult psychiatry: a summary of utilisation and impact by Maja Kling, Alfred Haeussl, Nina Dalkner, Frederike T. Fellendorf, Melanie Lenger, Alexander Finner, Julia Ilic, Irina S. Smolak, Lena Stojec, Ina Zwigl, Eva Z. Reininghaus

“…Social robots are increasingly becoming more prevalent in healthcare, including nursing, geriatric care, and treatment for children on the autism spectrum. …”
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Correlation of education factors and knowledge in choosing places to give birth in the work area of the Rokan IV Koto I health center by Fitria Rahmi, Handayani Eka Yuli, Wulandari Sri, Syari Mila, Sinaga Elvina Sari

“…These findings highlight how knowledge and education affect decisions about safe birthing. Healthcare facilities should step up efforts to spread knowledge and raise awareness about the value of giving birth in well-equipped facilities with trained medical personnel in order to guarantee that all pregnant mothers have access to safe delivery services. …”
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Erythema nodosum as the initial presentation of leprosy in a 15-year-old boy: a case report on Ethiopia’s persistent elimination challenges by Kedir Negesso Tukeni, Tadele Molla Aga, Elias Ababulgu Abadiko, Idosa Taso Mamo, Tamirat Godebo Woyimo, Eyob Tarekegn Biru, Abdo Kedir Abafogi, Esayas Kebede Gudina

“…The complexity of the presentation demonstrates the need for ongoing vigilance among healthcare providers. Public health initiatives aimed at improving diagnostic capabilities and expanding leprosy services are vital for reducing the disease burden in countries such as Ethiopia.…”
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Creation and validation of a new index to predict pneumonia associated with ischemic stroke by Alexis Suárez Quesada, Alexis Álvarez Aliaga, Andrés José Quesada Vázquez

“…It is a useful and safe tool for use in healthcare practice.</p>…”
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Surgical Practice in Resource‐Limited Settings: Perspectives of Medical Students and Early Career Doctors: A Narrative Review by BillSmith Anyinkeng Achanga, Christian Wabene Bisimwa, Victor Oluwafemi Femi‐Lawal, Nnoko Sona Akwo, Tohson Falake Toh

“…Results We outline the limitations identified in the literature concerning surgical training and healthcare in low‐ and middle‐income countries. Many centers lack adequate infrastructure, human resources, and training. …”
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Multiscale characterization of medical devices and pharmaceutical formulations with 3D X-ray microscopy and computed tomography by Herminso Villarraga-Gómez, Ria L. Mitchell

“… Effective healthcare relies on safe and reliable drug delivery systems that enhance cure rates while minimizing side effects and ensuring ease of use for better patient compliance. …”
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Methods of forensic examination of Nalbuphine by I. О. Besedina

“…At present, in Ukraine, nalbuphine is not subject to subject-quantitative accounting in healthcare facilities and by pharmaceutical manufacturers, but in some countries it is included in the list of narcotic drugs. …”
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Concentration of Particulate Matter and Air Humidity in Pediatric Intensive Care Unit by Pasaribu Hotber Edwin Rolan, Afandi Dedi, Hamidy Yulis

“…The Pediatric Intensive Care Unit (PICU) is a space that must maintain high air quality because it is continuously occupied by pediatric patients and healthcare personnel 24 hours a day, 7 days a week. …”
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The Effects of Catheter Ablation Therapy on Medication Use and Expenditures in Patients with Atrial Fibrillation by Matthew R. Reynolds, Guy David, Candace Gunnarsson, Jamie L. March, Steven C. Hao

“…Propensity matching was used to account for baseline differences between groups, and multivariable regression models adjusted for patient characteristics and baseline healthcare resource utilization. Sub-analyses were performed for patients age ≥65. …”
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Continuous Production of Docetaxel-Loaded Nanostructured Lipid Carriers Using a Coaxial Turbulent Jet Mixer with Heating System by Hyeon Su Lim, Won Il Choi, Jong-Min Lim

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Hospital-Acquired COVID-19: Case Discussions of Two Patients Treated at a Level I Trauma Center by Ryan M. Desrochers, Jonathan D. Gates, Daniel Ricaurte, Jane J. Keating

“…Many practices have been adopted by healthcare facilities to protect patients and staff by attempting to mitigate internal spread of the disease; however, these practices are highly variable among institutions, and it is difficult to identify which interventions are both practical and impactful. …”
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Exploring the impact of telemedicine in chronic patients from diverse socioeconomic contexts: systematic review of qualitative studies by Yuzhe Li, Qifang Shi, Jing Yang, Li Ran

“…We should actively solve the problems and maximize the functions of telemedicine.ObjectiveTo explore the application and improvement of telemedicine in chronic disease self-management to provide important insights from functional module analysis for stakeholders, healthcare professionals, and policymakers to promote the development of telemedicine in chronic disease management.DesignWe conducted a systematic review and qualitative synthesis of five English databases including PubMed, Embase, Web of Science, Cochrane Database of Systematic Reviews, and Scopus, as well as three Chinese databases: China National Knowledge Infrastructure (CNKI), WanFang and VIP database. …”
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A scoping review of published literature on chikungunya virus. by Mariola Mascarenhas, Sophiya Garasia, Philippe Berthiaume, Tricia Corrin, Judy Greig, Victoria Ng, Ian Young, Lisa Waddell

“…Although this mosquito-borne disease is self-limiting and is not associated with high mortality, it can lead to severe, chronic and disabling arthritis, thereby posing a heavy burden to healthcare systems. The two main vectors for CHIKV are Aedes aegypti and Aedes albopictus (Asian tiger mosquito); however, many other mosquito species have been described as competent CHIKV vectors in scientific literature. …”
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Towards Transparent Diabetes Prediction: Combining AutoML and Explainable AI for Improved Clinical Insights by Raza Hasan, Vishal Dattana, Salman Mahmood, Saqib Hussain

“…This study integrates Automated Machine Learning (AutoML) with Explainable Artificial Intelligence (XAI) to improve diabetes risk prediction and enhance model interpretability for healthcare professionals. Using the Pima Indian Diabetes dataset, we developed an ensemble model with 85.01% accuracy leveraging AutoGluon’s AutoML framework. …”
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