Knowledge and Views of Patients With Cardiovascular Disease Toward Pharmacogenomics in The United Arab Emirates by Maram O. Abbas, Azhar T. Rahma, Iffat Elbarazi, Bassam R. Ali, George P. Patrinos, Farah Nagy, Alya Osman, Reem K. Alneyadi, Anwar S. Alshamsi, Mohamed Alraqabani, Zeina Al‐Mahayri, Fatma Al‐Maskari

“…Participants were invited via phone calls or in‐person contact at clinics. Data analysis was conducted using SPSS V.29, incorporating descriptive statistics and multivariable logistic regression. …”
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GPS tracking methods for spatiotemporal air pollution exposure assessment: comparison and challenges in study implementation by Kalliopi Kyriakou, Benjamin Flückiger, Danielle Vienneau, Nicole Probst-Hensch, Ayoung Jeong, Medea Imboden, Aletta Karsies, Oliver Schmitz, Derek Karssenberg, Roel Vermeulen, Gerard Hoek, Kees de Hoogh

“…Participants completed a baseline questionnaire, carried a GPS device (SODAQ) for 2 weeks, and used a smartphone app for a time activity diary. …”
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HIV Self-Testing: A Discussion on the Benefits, Limitations, and Implications for Public Health with a Focus on Poland by Aleksandra Kozieł, Igor Domański, Aleksandra Szymczak, Tomasz Dudzik, Brygida Knysz, Bartosz Szetela

“…Results: HIVST is well-accepted, especially among key populations; it can reduce stigma and enhance privacy. The results of studies conducted in Poland indicate that heterosexuals are more inclined to use self-testing methods than traditional diagnostic procedures. …”
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Receptiveness to participating in cannabis research in pregnancy: a survey study at The Ottawa Hospital [version 1; peer review: 2 approved] by Kira Bombay, Amy McGee, Christina Cantin, Kathryn M Denize, Malia SQ Murphy, Daniel J Corsi, Mark C Walker, Shi Wu Wen, Ruth Rennicks White

“…In the design of new cohort studies to evaluate the patterns and outcomes of cannabis use in pregnancy, consideration must be given to the factors influencing participation, data sharing, and contribution of biological samples. …”
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When and Why Adults Abandon Lifestyle Behavior and Mental Health Mobile Apps: Scoping Review by Patrick G Kidman, Rachel G Curtis, Amanda Watson, Carol A Maher

“…ObjectiveWe explored the abandonment of apps used for managing physical activity, diet, alcohol, smoking, and mental health in free-living conditions, examining the duration of app use before abandonment and the underlying reasons. …”
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A comprehensive analysis of model poisoning attacks in federated learning for autonomous vehicles: A benchmark study by Suzan Almutairi, Ahmed Barnawi

“…Due to the increase in data regulations amid rising privacy concerns, the machine learning (ML) community has proposed a novel distributed training paradigm called federated learning (FL). …”
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BACP-LRS: Blockchain and IPFS-based Land Record System by Insaf Boumezbeur, Abdelhalim Benoughidene, Imane Harkat, Farah Boutouatou, Dounia Keddari, Karim Zarour

“…Objective: The purpose of the present work is to propose an architecture for blockchain-based access control for distribution, ensuring information privacy. We take advantage of the benefits of blockchain technology in improving land record management while granting access to electronic data through user permissions. …”
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Teledentistry-Dental students' preparedness and patients' experiences. by Swarna Math, Janice Diong Li Nga, Huey Fen Lim, Maryam Amin, Camila Pacheco-Pereira

“…Descriptive statistics were used to summarise the data.<h4>Results</h4>Out of 125 students, 88% (N = 110) were contacted by 318 patients. …”
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Ethical considerations in artificial intelligence-driven environments for higher education by Phumzile D. Mogoale, Agnieta Pretorius, Refilwe C. Mogase, Mmatshuene A. Segooa

“…The IEEE Xplore Digital Library database was used, with keywords such as ‘artificial intelligence OR AI’ AND ‘education’ AND/OR ‘ethics’. …”
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Distributed Ledger Technology Based Integrated Healthcare Solution for Bangladesh by Md. Ariful Islam, Md. Antonin Islam, Md. Amzad Hossain Jacky, Md. Al-Amin, Md. Saef Ullah Miah, Md. Muhidul Islam Khan, Md. Iqbal Hossain

“…This application collects health data from each user in a systematic manner, which is useful for research institutes and healthcare-related organizations. …”
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Community perceptions of ethics and professionalism of community health workers: a qualitative exploration by Vijayaprasad Gopichandran, Sudharshini Subramaniam, Balasubramanian Palanisamy, Priyadarshini Chidambaram

“…Results The CHWs ensure good quality of services by effective use of mobile phones and by going beyond the call of duty. …”
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THE IMPACT OF AI ON FUNDAMENTAL HUMAN RIGHTS IN EU COUNTRIES. EXAMINATION OF ACADEMIC STUDIES AND THE POSITIONS OF NON-GOVERNMENTAL ORGANIZATIONS REGARDING THE ETHICAL AND AI LEGAL... by Doina Ljungholm POPESCU, Carmina-Elena TOLBARU

“…In the European Union, the development and use of AI pose significant challenges regarding the protection of fundamental human rights, such as the right to privacy, equality, and access to justice. …”
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Perceptions of precision medicine among diverse dementia caregivers and professional providers by Joseph E. Gaugler, Hayley R. McCarron, Lauren L. Mitchell

“…Concerns included cost of precision medicine and insurance coverage; lack of alignment with cultural norms; fraught relationships between communities, health professionals, and researchers; data ownership and privacy; and the trade‐off between knowing risk and treatment benefit. …”
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Generative AI in higher education: A global perspective of institutional adoption policies and guidelines by Yueqiao Jin, Lixiang Yan, Vanessa Echeverria, Dragan Gašević, Roberto Martinez-Maldonado

“…Despite these efforts, gaps remain in comprehensive policy frameworks, particularly in addressing data privacy concerns and ensuring equitable access to GAI tools. …”
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Development of a Digital Platform: A Perspective to Advance Space Telepharmacy by Marlise A dos Santos, Juliana Herbert, Ilaria Cinelli, Jose Antonio L Burmann, Vinicius V Soares, Thais Russomano

“…It has specific service protocols for service standardization, including artificial intelligence, to allow agility in services and escalation. All data is protected by privacy and professional ethics guidelines. …”
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Benchmarking In-Sensor Machine Learning Computing: An Extension to the MLCommons-Tiny Suite by Fabrizio Maria Aymone, Danilo Pietro Pau

“…This benchmark evaluates models trained with Quantization Aware Training (QAT) and compares their performance with Post-Training Quantization (PTQ) across three use cases: Human Activity Recognition (HAR) by means of the SHL dataset, Physical Activity Monitoring (PAM) by means of the PAMAP2 dataset, and superficial electromyography (sEMG) regression with the NINAPRO DB8 dataset. …”
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Consumer perspectives on the national electronic health record and barriers to its adoption in Germany: does health policy require a change in communication? by Saskia Kröner, Björn Schreiweis, Veronika Strotbaum, Lea Christine Brandl, Monika Pobiruchin, Martin Wiesner

“…Results The top three ePA use cases were medical document collection, simplified data exchange between medical institutions, and emergency medical information. …”
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Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models by John Fischer, Marko Orescanin, Justin Loomis, Patrick Mcclure

“…Federated learning (FL) is an approach to training machine learning models that takes advantage of multiple distributed datasets while maintaining data privacy and reducing communication costs associated with sharing local datasets. …”
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Smart Safety Helmets with Integrated Vision Systems for Industrial Infrastructure Inspection: A Comprehensive Review of VSLAM-Enabled Technologies by Emmanuel A. Merchán-Cruz, Samuel Moveh, Oleksandr Pasha, Reinis Tocelovskis, Alexander Grakovski, Alexander Krainyukov, Nikita Ostrovenecs, Ivans Gercevs, Vladimirs Petrovs

“…This paper compiles numerous industrial use cases, from bridges and tunnels to plants and power facilities, demonstrating significant improvements in inspection efficiency, data quality, and worker safety. …”
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Blockchain enabled deep learning model with modified coati optimization for sustainable healthcare disease detection and classification by Heba G. Mohamed, Fadwa Alrowais, Fahd N. Al-Wesabi, Mesfer Al Duhayyim, Anwer Mustafa Hilal, Abdelwahed Motwakel

“…In the data preprocessing stage, the MCODBC-HDDC model employs Z-score normalization to standardize the data and improve performance. …”
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