Publications by authors named "N V Luong"
Article Synopsis
- The study examines how behavioral data from smartphones can be used to detect and monitor depression symptoms in patients.
- Researchers collected smartphone data from 164 participants over a year, including both healthy individuals and patients with various depressive disorders.
- The analysis revealed 32 key behavioral markers linked to depression, achieving an 82% accuracy in classifying depressed individuals and 75% accuracy in tracking changes in their depressive states.
Introduction: Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are severe cutaneous adverse reactions. However, only a few studies have investigated the clinicodemographic and laboratory parameters predicting SJS and TEN outcomes other than mortality, such as severe complications or increased length of hospital stays. Our objectives are to identify admission risk factors predictive of severe complications and the accompanying clinical or biochemical markers associated with prolonged hospitalization.
View Article and Find Full Text PDFDecellularized small intestine submucosa (dSIS) is a promising biomaterial for promoting tissue regeneration. Isolated from the submucosal layer of animal jejunum, SIS is rich in extracellular matrix (ECM) proteins, including collagen, laminin, and fibronectin. Following mild decellularization, dSIS becomes an acellular matrix that supports cell adhesion, proliferation, and differentiation.
View Article and Find Full Text PDFIntroduction: Several COVID-19 outbreaks have been reported in meat processing plants in different countries. The aim of this study was to assess the environmental and socio-economic risk factors favouring the transmission of SARS-CoV-2 in meat processing plants and to describe the prevention measures implemented.
Methods: Data from epidemiological investigations of COVID-19 clusters in France, the scientific literature, structured interviews and site visits were collected and summarised to investigate the main risk factors for SARS-CoV-2 infection in meat processing plants, including determinants within and outside the workplace.
Background: The COVID-19 pandemic prompted various containment strategies, such as work-from-home policies and reduced social contact, which significantly altered people's sleep routines. While previous studies have highlighted the negative impacts of these restrictions on sleep, they often lack a comprehensive perspective that considers other factors, such as seasonal variations and physical activity (PA), which can also influence sleep.
Objective: This study aims to longitudinally examine the detailed changes in sleep patterns among working adults during the COVID-19 pandemic using a combination of repeated questionnaires and high-resolution passive measurements from wearable sensors.