The Group of 20 Summit (G20) in Osaka, which Japan chaired for the first time in June 2019 has created a tailwind for achieving universal health coverage (UHC) globally. In response to the rapid digitalization, the G20 leaders commenced negotiations for the Osaka Track framework to formulate international rules on data flow across borders and systematize the concept of 'Data Free Flow with Trust (DFFT).' The strategic harnessing of the power of data to strengthen the healthcare system can allow for rapid and affordable progress toward achieving UHC. However, world leaders have yet to discuss what data governance approaches the Osaka Track will follow, or even on what values it will seek to create and maximize. In this paper, we propose a people-centered, trust-oriented approach as the key principle of data governance toward achieving UHC, using Japan's experience as an example. We believe that this approach is compatible with other prevailing approaches (e.g. the General Data Protection Regulation (GDPR) in the European Union), and can serve as a bridge to their conceptual differences. We hope that our proposed principles will be fully discussed in post-G20 Osaka Summit meetings.
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http://dx.doi.org/10.1080/16549716.2020.1859822 | DOI Listing |
Oncotarget
March 2025
Worldwide Innovative Network (WIN) Association - WIN Consortium, Chevilly-Larue, France.
The human genome project ushered in a genomic medicine era that was largely unimaginable three decades ago. Discoveries of druggable cancer drivers enabled biomarker-driven gene- and immune-targeted therapy and transformed cancer treatment. Minimizing treatment not expected to benefit, and toxicity-including financial and time-are important goals of modern oncology.
View Article and Find Full Text PDFJMIRx Med
March 2025
Stelmith, LLC, 2333 Aberdeen Pl, Carollton, TX, 75007, United States, 1 9459001314.
Background: The increasing integration of artificial intelligence (AI) systems into critical societal sectors has created an urgent demand for robust privacy-preserving methods. Traditional approaches such as differential privacy and homomorphic encryption often struggle to maintain an effective balance between protecting sensitive information and preserving data utility for AI applications. This challenge has become particularly acute as organizations must comply with evolving AI governance frameworks while maintaining the effectiveness of their AI systems.
View Article and Find Full Text PDFJ Med Internet Res
March 2025
Inverness College, University of the Highlands and Islands, Inverness, GB.
Background: Artificial intelligence (AI) is rapidly transforming healthcare, offering significant advancements in patient care, clinical workflows, and nursing education. While AI has the potential to enhance health outcomes and operational efficiency, its integration into nursing practice and education raises critical ethical, social, and educational challenges that must be addressed to ensure responsible and equitable adoption.
Objective: This umbrella review aims to evaluate the integration of AI into nursing practice and education, with a focus on ethical and social implications, and to propose evidence-based recommendations to support the responsible and effective adoption of AI technologies in nursing.
Epilepsia
March 2025
Department of Neurosciences, University of Montreal, Montreal, Quebec, Canada.
Objective: To determine whether interictal epileptiform discharges (IEDs) on routine electroencephalography (EEG) predict seizure recurrence in adults with established epilepsy.
Methods: We conducted a retrospective survival analysis of consecutive adults with epilepsy undergoing routine EEG at a tertiary center between 2018 and 2019. Using multivariate Cox proportional hazards models guided by a directed acyclic graph and adjusted for confounders including past seizure frequency and duration of epilepsy, we estimated the association between the presence of IEDs and time to next seizure, stratified by epilepsy type.
Am J Prev Med
January 2025
State Key Laboratory of Vaccines for Infectious Diseases, School of Public Health, Xiamen University, Xiamen, China; Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health, Xiamen University, Xiamen, China. Electronic address:
Introduction: The purpose of this article is to describe the global burden and temporal trends of Alzheimer's disease and other dementias from 1990 to 2021 and explore cross-country inequality associated with sociodemographic development-related factors.
Methods: The disability-adjusted life years of Alzheimer's disease and other dementias and sociodemographic index were extracted from the Global Burden of Disease 2021 study, and other sociodemographic development-related factors, including government expenditure on education (% of GDP), net national income per capita, health expenditure per capita, and fertility rate, were sourced from World Bank Data. Disability-adjusted life years of Alzheimer's disease and other dementias across 204 countries/territories and global age-sex distribution in 2021 were illustrated.
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