Results 121 to 130 of about 193,546 (263)

Host Plasma Microenvironment in Immunometabolically Impaired HIV Infection Leads to Dysregulated Monocyte Function and Synaptic Transmission Ex Vivo

Advanced Science, Volume 12, Issue 16, April 24, 2025.
Network‐based risk stratification of people living with HIV (PWH) on prolonged therapy using multi‐omics data identifies 44% of the patients are at risk of immunometabolic complications. A senescence‐associated myeloid cell‐driven plasma microenvironment drives immunometabolic dysregulation in at‐risk PWH.
Flora Mikaeloff, Marco Gelpi, Alejandra Escós, Tianqi Wang, Soham Gupta, Anna Olofsson, Sara Svensson Akusjärvi, Sabrina Schuster, Prajakta Naval, Vikas Sood, Negin Nikouyan, Andreas D. Knudsen, Beate Vestad, Julie Høgh, Johannes R. Hov, Thomas Benfield, Marius Trøseid, Vinay Pawar, Marijana Rucevic, Rui Benfeitas, Ákos Végvári, Liam O'Mahony, Rajkumar Savai, Niklas K. Björkström, Magda Lourda, João Pedro de Magalhães, Siegfried Weiss, Adil Mardinoglu, Mukesh Kumar Varshney, Annika C. Karlsson, Yasir Ahmed Syed, Susanne D. Nielsen, Ujjwal Neogi   +32 more
wiley   +1 more source

Nosocomial and Community-Acquired Staphylococcus Aureus Bacterimias from 1980 to 1993: Impact of Intravascular Devices and Methicillin Resistance [PDF]

, 1996
The rate of nosocomial bacteremia due to Staphylococcus aureus has increased over the past decade, but trends in community-acquired S. aureus bacteremia are less certain.
Clarke, C.C., Hackman, B.O., Steinberg, J.P.   +2 more
core   +1 more source

Rapid and Noninvasive Early Detection of Lung Cancer by Integration of Machine Learning and Salivary Metabolic Fingerprints Using MS LOC Platform: A Large‐Scale Multicenter Study

Advanced Science, EarlyView.
Salivary metabolic signatures associated with lung cancer are systematically characterized through a self‐developed high‐throughput mass spectrometry Lab‐on‐a‐Chip platform. Utilizing these metabolic fingerprints, SalivaMLD, an integrated machine‐learning‐driven classification model is developed and demonstrates superior performance in detecting lung ...
Shuang Lin, Runlan Yan, Junqi Zhu, Bei Li, Yinyan Zhong, Shuang Han, Huiting Wang, Jianmin Wu, Zhao Chen, Yuyue Jiang, Aiwu Pan, Xuqing Huang, Xiaoming Chen, Pingya Zhu, Sheng Cao, Wenhua Liang, Peng Ye, Yue Gao   +17 more
wiley   +1 more source

When should you suspect community-acquired MRSA? How should you treat it? [PDF]

, 2009
There are no clinical or epidemiologic features that will help you to clearly distinguish community-acquired methicillin-resistant Staphylococcus aureus infections (CA-MRSA) from methicillin-sensitive (CA-MSSA) infections (strength of recommendation [SOR]
May, Todd J., Safranek, Sarah
core  

A prospective evaluation of community acquired gastroenteritis in paediatric practices: impact and disease burden of rotavirus infection [PDF]

, 2001
Martin Frühwirth
openalex   +1 more source

Impact of heterogeneity on infection probability: Insights from single-hit dose-response models [PDF]

arXiv
The process of infection of a host is complex, influenced by factors such as microbial variation within and between hosts as well as differences in dose across hosts. This study uses dose-response and within-host microbial infection models to delve into the impact of these factors on infection probability. It is rigorously demonstrated that within-host
arxiv  

Finding an infection source under the SIS model [PDF]

arXiv, 2013
We consider the problem of identifying an infection source based only on an observed set of infected nodes in a network, assuming that the infection process follows a Susceptible-Infected-Susceptible (SIS) model. We derive an estimator based on estimating the most likely infection source associated with the most likely infection path.
arxiv  

Engineered Tissue Models to Decode Host–Microbiota Interactions

Advanced Science, EarlyView.
Host–Microbiota interactions in the human body. Created in BioRender. Ghezzi, C. (2025) https://BioRender.com/ihivskg. Abstract A mutualistic co‐evolution exists between the host and its associated microbiota in the human body. Bacteria establish ecological niches in various tissues of the body, locally influencing their physiology and functions, but ...
Miryam Adelfio, Grace E. Callen, Xuesong He, Bruce J. Paster, Hatice Hasturk, Chiara E. Ghezzi   +5 more
wiley   +1 more source

The initial configuration is irrelevant for the possibility of mutual unbounded growth in the two-type Richardson model [PDF]

Combinatorics, Probability & Computing 15:3, 345-353 (2006), 2015
The two-type Richardson model describes the growth of two competing infections on $\mathbb{Z}^d$. At time 0 two disjoint finite sets $\xi_1,\xi_2\subset \mathbb{Z}^d$ are infected with type 1 and type 2 infection respectively. An uninfected site then becomes type 1 (2) infected at a rate proportional to the number of type 1 (2) infected nearest ...
arxiv  

Ligand‐Driven Annular‐Epitaxial Growth of CuS‐Au Heterostructures as Trinity Plasmonic Nanozyme for Multimode Diagnosis of Pathogenic Bacteria

Advanced Science, EarlyView.
CuS‐Au heterostructures were synthesized via ligand‐regulated annular‐epitaxial growth strategy, biotin‐Concanavalin A (ConA) was modified on the CuS‐Au heterostructures for universal bacterial‐labelling, assembled with strip, Streptococcus pneumoniae and Klebsiella pneumoniae can be sensitively recognized by SERS/colorimetric/temperature three‐mode ...
Xiaorui Lin, Pengyou Zhou, Miao An, Chenyi Zhu, Yuanfeng Pang, Rui Xiao   +5 more
wiley   +1 more source