Environmental and dietary exposure to 24 polycyclic aromatic hydrocarbons in a typical Chinese coking plant

Y Gao, MZ Geng, G Wang, H Yu, Y Ji, RW Jordan… - Environmental …, 2024 - Elsevier
Polycyclic aromatic hydrocarbons (PAHs), known for their health risks, are prevalent in the
environment, with the coking industry being a major source of their emissions. To bridge the …

Predictive modeling of COVID-19 mortality risk in chronic kidney disease patients using multiple machine learning algorithms

L Luo, P Gao, C Yang, S Yu - Scientific Reports, 2024 - nature.com
Abstract The coronavirus disease 2019 (COVID-19) has a significant impact on the global
population, particularly on individuals with chronic kidney disease (CKD). COVID-19 …

Seroprevalence and risk factors for Lassa virus infection in South-West and North-Central Nigeria: a community-based cross-sectional study

AB Tiamiyu, OA Adegbite, O Freides, S Frndak… - BMC Infectious …, 2024 - Springer
Background Understanding the level of exposure to Lassa virus (LASV) in at-risk
communities allows for the administration of effective preventive interventions to mitigate …

High-plex spatial transcriptomic profiling reveals distinct immune components and the HLA class I/DNMT3A/CD8 modulatory axis in mismatch repair-deficient …

J Guo, B Tang, J Fu, X Zhu, W Xie, N Wang, Z Ding… - Cellular Oncology, 2024 - Springer
Purpose Tumors bearing mismatch repair deficiency (MMRd) are characterized by a high
load of neoantigens and are believed to trigger immunogenic reactions upon immune …

Amélioration de Scores de Risque Environmental par Machine Learning Informé et AI Explicable

JB Guimbaud - 2024 - theses.hal.science
Dès la conception, des facteurs environnementaux tels que la qualité de l'air ou les
habitudes alimentaires peuvent significativement influencer le risque de développer …

[引用][C] Sare Neuronalen ikasketa analisia eta proposatutako hobekuntzak.

A Teso Fernández de Betoño - 2024