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Self-sovereign management scheme of personal health record with personal data store and decentralized identifier.
Comput Struct Biotechnol J
November 2024
Intellicode Cooperation, Republic of Korea.
Conventional personal health record (PHR) management systems are centralized, making them vulnerable to privacy breaches and single points of failure. Despite progress in standardizing healthcare data with the FHIR format, hospitals often lack efficient platforms for transferring PHRs, leading to redundant tests and delayed treatments. To address these challenges, we propose a decentralized PHR management system leveraging Personal Data Stores (PDS) and Decentralized Identifiers (DIDs) in line with the Web 3.
View Article and Find Full Text PDFA qualitative study on general practitioners' perspectives on late-life depression in Singapore-part II: system- and physician-related factors.
Lancet Reg Health West Pac
January 2025
Department of Medicine, National University of Singapore, Yong Loo Lin School of Medicine, Singapore, Singapore.
Background: Little is known about the practices and resources employed by general practitioners (GPs) in Singapore to manage late-life depression. As the country is stepping up its efforts to promote collaborative care across community mental health and geriatric care, understanding GPs' current practices when managing late-life depression appears timely.
Methods: This qualitative descriptive study explored the perspectives on late-life depression of 28 private GPs practicing in Singapore through online semi-structured group and individual interviews.
Assessing COVID-19 Pandemic-Era Vaccine Uptake and Adherence to Prevention Measures: A Comparative Analysis Among Men and Women Using Lot Quality Assurance Sampling in Central Uganda.
Risk Manag Healthc Policy
January 2025
School of Public Health, Gudie University Project, Kampala, Uganda.
Aim: This study examined citizens' knowledge and compliance with COVID-19 standard operating procedures (SOPs), vaccine acceptance and hesitancy, and factors that could influence these behaviors.
Methods: The study that utilised the Lot Quality Assurance Sampling (LQAS) approach was conducted in eight districts of Central Uganda; Kiboga, Kyankwanzi, Mubende, Kasanda, Mityana, Luwero, Nakaseke, and Nakasongola districts. Each district was divided into five supervision areas (SAs).
Computing chemical potentials with machine-learning-accelerated simulations to accurately predict thermodynamic properties of molten salts.
Chem Sci
January 2025
Chemical Sciences Division, Oak Ridge National Laboratory Oak Ridge TN 37830 USA
The successful design and deployment of next-generation nuclear technologies heavily rely on thermodynamic data for relevant molten salt systems. However, the lack of accurate force fields and efficient methods has limited the quality of thermodynamic predictions from atomistic simulations. Here we propose an efficient free energy framework for computing chemical potentials, which is the central free energy quantity behind many thermodynamic properties.
View Article and Find Full Text PDFDevelopment and external validation of a model to predict recurrence in patients with non-muscle invasive bladder cancer.
Front Immunol
January 2025
School of Nursing, Zunyi Medical University, Zunyi, China.
Background: Most patients initially diagnosed with non-muscle invasive bladder cancer (NMIBC) still have frequent recurrence after urethral bladder tumor electrodesiccation supplemented with intravesical instillation therapy, and their risk of recurrence is difficult to predict. Risk prediction models used to predict postoperative recurrence in patients with NMIBC have limitations, such as a limited number of included cases and a lack of validation. Therefore, there is an urgent need to develop new models to compensate for the shortcomings and potentially provide evidence for predicting postoperative recurrence in NMIBC patients.
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