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Occurrence and clinical correlates of SARS-CoV-2 viremia in two German patient cohorts.
Emerg Microbes Infect
January 2025
Institute for Medical Virology, Goethe University, University Hospital Frankfurt, Frankfurt am Main, Germany.
Viremia defined as detectable SARS-CoV-2 RNA in the blood is a potential marker of disease severity and prognosis in COVID-19 patients. Here, we determined the frequency of viremia in serum of two independent COVID-19 patient cohorts within the German National Pandemic Cohort Network (German: tionales andemie horten etzwerk, NAPKON) with diagnostic RT-PCR against SARS-CoV-2. A cross-sectional cohort with 1,122 COVID-19 patients (German: , SUEP) and 299 patients recruited in a high-resolution platform with patients at high risk to develop severe courses (German: , HAP) were tested for viremia.
View Article and Find Full Text PDFSelf-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 PDFImputation for Lipidomics and Metabolomics (ImpLiMet): a web-based application for optimization and method selection for missing data imputation.
Bioinform Adv
January 2025
Digital Technologies Research Centre, National Research Council of Canada, Ottawa, ON K1K 4P7, Canada.
Motivation: Missing values are prevalent in high-throughput measurements due to various experimental or analytical reasons. Imputation, the process of replacing missing values in a dataset with estimated values, plays an important role in multivariate and machine learning analyses. The three missingness patterns, including missing completely at random, missing at random, and missing not at random, describe unique dependencies between the missing and observed data.
View Article and Find Full Text PDFClinical trials in health-care metaverse - A conceptual overview.
Perspect Clin Res
August 2024
Department of Pharmacy Practice, SRM College of Pharmacy, Faculty of Medicine and Health Sciences, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
Post-COVID-19, the emergence of newer technologies has taken center stage. One such technology is metaverse, which is an extension of existing technologies such as virtual reality (VR) and augmented reality (AR) that enables a fully immersive communication platform through the utilization of digital twins and avatars in a three-dimensional digital space. Literature review has shown that the adoption of such technologies in the field of clinical trials can help in improving the therapeutic outcomes in patients while having numerous other benefits.
View Article and Find Full Text PDFDevelopment and implementation of a digiphysical screening model with nationwide reach to diagnose familial hypercholesterolemia.
Digit Health
January 2025
Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.
Background: Familial hypercholesterolemia (FH) is a hereditary dyslipidemia that confers a severely elevated risk for development of early atherosclerotic cardiovascular disease if left untreated. FH is underdiagnosed in most countries including Sweden.
Aim: To develop and evaluate the implementation of a digiphysical screening model to diagnose FH in the clinical routine.
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