[HTML][HTML] Challenges of data sharing in European Covid-19 projects: A learning opportunity for advancing pandemic preparedness and response

E Tacconelli, A Gorska, E Carrara, RJ Davis… - The Lancet Regional …, 2022 - thelancet.com
The COVID-19 pandemic saw a massive investment into collaborative research projects with
a focus on producing data to support public health decisions. We relay our direct experience …

[HTML][HTML] Burden of disease of COVID-19: strengthening the collaboration for national studies

SM Pires, GMA Wyper, A Wengler, JL Peñalvo… - Frontiers in public …, 2022 - frontiersin.org
Objectives Quantifying the combined impact of morbidity and mortality is a key enabler to
assessing the impact of COVID-19 across countries and within countries relative to other …

[HTML][HTML] A hybrid architecture (CO-CONNECT) to facilitate rapid discovery and access to data across the United Kingdom in response to the COVID-19 pandemic …

E Jefferson, C Cole, S Mumtaz, S Cox, TC Giles… - Journal of medical …, 2022 - jmir.org
Background COVID-19 data have been generated across the United Kingdom as a by-
product of clinical care and public health provision, as well as numerous bespoke and …

[HTML][HTML] ABO blood group as a determinant of COVID-19 and Long COVID: An observational, longitudinal, large study

JB Soriano, A Peláez, X Busquets, M Rodrigo-García… - PLoS …, 2023 - journals.plos.org
Background An association of ABO blood group and COVID-19 remains controversial.
Methods Following STROBE guidance for observational research, we explored the …

DistSNE: Distributed computing and online visualization of DNA methylation‐based central nervous system tumor classification

K Schmid, J Sehring, A Németh, PN Harter… - Brain …, 2024 - Wiley Online Library
The current state‐of‐the‐art analysis of central nervous system (CNS) tumors through DNA
methylation profiling relies on the tumor classifier developed by Capper and colleagues …

Accessibility of covariance information creates vulnerability in Federated Learning frameworks

M Huth, J Arruda, R Gusinow, L Contento… - …, 2023 - academic.oup.com
Abstract Motivation Federated Learning (FL) is gaining traction in various fields as it enables
integrative data analysis without sharing sensitive data, such as in healthcare. However, the …

[HTML][HTML] Impact of domiciliary administration of NSAIDs on COVID-19 hospital outcomes: an unCoVer analysis

E Salvador, C Mazzi, N De Santis, G Bertoli… - Frontiers in …, 2023 - frontiersin.org
Background: Effective domiciliary treatment can be useful in the early phase of COVID-19 to
limit disease progression, and pressure on hospitals. There are discrepant data on the use …

[HTML][HTML] Prognostic Role of Clinical Features of Moderate Forms of COVID-19 Requiring Hospitalization

AC Trofor, AT Cernomaz, LM Lotrean… - Journal of Personalized …, 2023 - mdpi.com
Introduction: We aimed to characterize the clinical features of moderate forms of COVID-19
requiring hospitalization and potentially identify predictors for unfavorable outcomes …

A Federated Database for Obesity Research: An IMI-SOPHIA Study

C Delfin, I Dragan, D Kuznetsov, JF Tajes, F Smit… - Life, 2024 - mdpi.com
Obesity is considered by many as a lifestyle choice rather than a chronic progressive
disease. The Innovative Medicines Initiative (IMI) SOPHIA (Stratification of Obesity …

Clinical characteristics and outcomes among hospitalised COVID-19 patients across epidemic waves in Spain: An unCoVer analysis

A Peláez, NR Del Árbol, AV Sellán, JM Castellano… - Medicina Clínica, 2024 - Elsevier
Background and objectives The COVID-19 pandemic had a significant impact in population
health worldwide, and particularly in people with pre-existing chronic diseases. Early risk …