Publications associées à SCOR: A secure international informatics infrastructure to investigate COVID-19

Publications associées (12)

On the fundamental limits of privacy-enhancing technologies

The advancement of data-driven decision making has become a key priority in political agendas and private sector strategies. However, the growing demand for data and the opacity of data-driven systems raise concerns about the threats to individual privacy ...

EPFL2024

Long Coronavirus Disease and the Brain: Molecular Neuroimaging Insights into Neurologic and Psychiatric Sequelae

Alexandre Cionca

To conclude, the neurologic impacts of COVID-19 represent a significant and emerging public health challenge. From acute conditions like strokes to persistent symptoms such as cognitive decline ,the effects of COVID-19 on the brain are diverse and complex. ...

ELSEVIER INC2024

The Architectural Space and the Healing Bed: On the Dimension of Privacy in Hospital Architectures

Anja Fröhlich

Building Early Modern Privacy Organizer: Centre for Privacy Studies, University of Copenhagen, and the Royal Danish Academy—Architecture, Design, Conservation, Institute of Architecture and Design The PRIVACY research team examines how notions of privacy ...

2024

A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification

David Atienza Alonso, Tomas Teijeiro Campo, Lara Orlandic

Background and Objective: Cough audio signal classification is a potentially useful tool in screening for respiratory disorders, such as COVID-19. Since it is dangerous to collect data from patients with contagious diseases, many research teams have turned ...

2023

Spatially explicit effective reproduction numbers from incidence and mobility data

Andrea Rinaldo, Enrico Bertuzzo, Lorenzo Mari, Damiano Pasetto, Cristiano Trevisin

Current methods for near real-time estimation of effective reproduction numbers from surveillance data overlook mobility fluxes of infectors and susceptible individuals within a spatially connected network (the metapopulation). Exchanges of infections amon ...

2023

Acute TNF alpha levels predict cognitive impairment 6-9 months after COVID-19 infection (vol 153, 106104, 2023)

Dimitri Nestor Alice Van De Ville, Alessandra Griffa, Idris Guessous, Alexandre Cionca

PERGAMON-ELSEVIER SCIENCE LTD2023

Bridging the gap between theoretical and practical privacy technologies for at-risk populations

Kasra Edalatnejadkhamene

With the pervasive digitalization of modern life, we benefit from efficient access to information and services. Yet, this digitalization poses severe privacy challenges, especially for special-needs individuals. Beyond being a fundamental human right, priv ...

EPFL2023

Inactivation mechanisms of influenza A virus under pH conditions encountered in aerosol particles as revealed by whole-virus HDX-MS

Tamar Kohn, Athanasios Nenes, Kalliopi Violaki, Ghislain Gilles Jean-Michel Motos, Giovanni D'Angelo, Aline Laetitia Schaub, Shannon Christa David, Walter Hugentobler, Jonathan Paz Montoya

Multiple respiratory viruses, including influenza A virus (IAV), can be transmitted via expiratory aerosol particles, and aerosol pH was recently identified as a major factor influencing airborne virus infectivity. Indoors, small exhaled aerosols undergo r ...

2023

Antibodies to combat viral infections: development strategies and progress

Bruno Emanuel Ferreira De Sousa Correia

Monoclonal antibodies (mAbs) are appealing as potential therapeutics and prophylactics for viral infections. This Review describes advances in antibody discovery and engineering that have led to the development of mAbs that target viruses such as severe ac ...

2022

Impact of COVID-19 Lockdown on Oxidative Potential of Particulate Matter: Case of Athens (Greece)

Athanasios Nenes

This work evaluates the aerosol oxidative potential (OP) and its changes from modified air pollution emissions during the COVID-19 lockdown period in 2020, with the intent of elucidating the contribution of aerosol sources and related components to aerosol ...

MDPI2022

Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness

Ntorina Thanou

Graph Signal Processing (GSP) is an emerging research field that extends the concepts of digital signal processing to graphs. GSP has numerous applications in different areas such as sensor networks, machine learning, and image processing. The sampling and ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Deep Reinforcement Learning for Random Access in Machine-Type Communication

Fernando Perez Cruz

Random access (RA) schemes are a topic of high interest in machine-type communication (MTC). In RA protocols, backoff techniques such as exponential backoff (EB) are used to stabilize the system to avoid low throughput and excessive delays. However, these ...

IEEE2022