Results 51 to 60 of about 5,871,734 (286)

ТранÑпериотонеална радикална нефректомија во третманот на карциномот на бубрег: компликации [PDF]

open access: yes, 2016
Ðаnравен е преглед на наашето хируршко иÑкуÑтво Ñо интра и поÑтоnеративните компликации, документирано кај 275 паци­ÐµÐ½Ñ‚и Ñо карциноми на бубрег
ПетровÑки, Д   +1 more
core   +1 more source

TRAF2 binds to TIFA via a novel motif and contributes to its autophagic degradation

open access: yesFEBS Letters, EarlyView.
TRAF family members couple receptor signalling complexes to downstream outputs, but how they interact with these complexes is not always clear. Here, we show that during ADP‐heptose signalling, TRAF2 binding to TIFA requires two short sequence motifs in the C‐terminal tail of TIFA, which are distinct from the TRAF6 binding motif.
Tom Snelling   +4 more
wiley   +1 more source

Anti-N-Methyl-D-Aspartate Receptor Encephalitis

open access: yesPediatric Neurology Briefs, 2013
Investigators at Universities of Barcelona, Pennsylvania, Oviedo, and Valencia, and the Spanish NMDAR Encephalitis Work Group report the clinical features of 20 pediatric patients with anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis seen in a ...
J Gordon Millichap
doaj   +1 more source

The epithelial barrier theory proposes a comprehensive explanation for the origins of allergic and other chronic noncommunicable diseases

open access: yesFEBS Letters, EarlyView.
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu   +17 more
wiley   +1 more source

Anti-N-Methyl-d-Aspartate Receptor Encephalitis

open access: yesPediatrics and Neonatology, 2011
Anti-N-methyl-d-aspartate (NMDA) receptor encephalitis is a treatment-responsive encephalitis associated with anti-NMDA receptor antibodies, which bind to the NR1/NR2 heteromers of the NMDA receptors.
Te-Yu Hung, Ning-Hui Foo, Ming-Chi Lai
doaj   +1 more source

ЛабораториÑки Ñтекнати инфекции кај вработените во микробиолошките лаборатории во Република Македонија [PDF]

open access: yes, 2017
Laboratory acquired infections (LAI)  are  all infections obtained during laboratory work, divided into several types, according to the manner of occurrence.
Kakaraskoska Boceska (КакараÑкоÑка БоцеÑка), Biljana (Биљана)
core   +1 more source

Goodbye flat lymphoma biology

open access: yesFEBS Letters, EarlyView.
Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria   +3 more
wiley   +1 more source

Tree-level UV completions for N R SMEFT d = 6 and d = 7 operators

open access: yesJournal of High Energy Physics, 2023
We study ultra-violet completions for operators in standard model effective field theory extended with right-handed neutrinos (N R SMEFT). Using a diagrammatic method, we generate systematically lists of possible tree-level completions involving scalars,
Rebeca Beltrán   +2 more
doaj   +1 more source

Ðндроид/нозе и нозе/труп индекÑи одредени Ñо абÑорпциметрија Ñо двојно-енергетÑки x-зраци кај Кушинг и не-Кушинг здебелени жени [PDF]

open access: yes, 2018
The aim of this study was to evaluate the central obesity, which is a main characteristic of Cushing's syndrome (CS), with dual-energy x-ray absorptiometry (DXA) and to determine DXA indexes that precisely differentiate CS from non CS obese women.
ТодоровÑка (Todorovska), Лидија (Lidija)   +1 more
core   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

open access: yesFEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan   +2 more
wiley   +1 more source

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