Results 101 to 110 of about 13,721,448 (320)

Utility of testing for factor V Leiden.

open access: yesBlood transfusion = Trasfusione del sangue, 2012
In 1993, Dahlback and colleagues reported that a poor anticoagulant response to activated protein C was associated with the risk of thrombosis1. Subsequently, it appeared clear that the so-called activated protein C resistance is mostly caused by a mutation in the Arg506 cleavage site of activated factor V2–6.
openaire   +2 more sources

Factor V Leiden and Natural Selection [PDF]

open access: yesClinical and Applied Thrombosis/Hemostasis, 2011
[No abstract available]
openaire   +3 more sources

Factor V Leiden mutation and pregnancy complications [PDF]

open access: yes, 2003
It has become evident in the past few years, that a large number of obstetric pathologies is actually associated with congenital thrombophilias. The most common disorder is Factor V Leiden.
Abraitis, Vytautas   +2 more
core  

Factor V Leiden mutation and type 1 diabetes mellitus

open access: yes, 2008
Diabetes mellitus is considered to cause a tendency for arterial thrombosis. Recent studies addressed the association between venous and arterial disease.
TUNÇBİLEK, ERGÜL   +4 more
core   +1 more source

Simultaneous subacute coronary drug-eluting stent thrombosis in two different vessels of a patient with factor V Leiden mutation [PDF]

open access: yes, 2008
We review the case of a 46-year-old man who underwent elective percutaneous coronary intervention and stenting of the left anterior descending artery and right coronary artery with two sirolimus- and paclitaxel-eluting stents. Four days after angioplasty,
Parham Eshtehardi   +5 more
core   +1 more source

STWave: Fine‐Scale Spatial Structure Discovery in Microscopic‐Resolution Spatial Transcriptomics via Patchwise Wavelet Graphs

open access: yesAdvanced Science, EarlyView.
STWave transforms massive microscopic‐resolution spatial transcriptomics into interpretable fine‐scale tissue maps through patch‐wise inference, wavelet‐based multi‐scale encoding, and dual‐domain reconstruction. It reduces noise while preserving weak spatial signals, enabling efficient analysis of 6 40 000 spots of 2.47 GB GPU memory and revealing ...
Tao Jiang   +9 more
wiley   +1 more source

Multiplexed Profiling of Individual Extracellular Vesicles Reveals Lung Cancer‐Associated Protein Signatures

open access: yesAdvanced Science, EarlyView.
Cygnus (Cyclic‐imaging gateway to nanovesicles underlying signature) integrates multiplexed single‐EV protein imaging with a practical analysis workflow to examine EV phenotypes at vesicle, subpopulation, and sample scales. ABSTRACT Lung cancer is frequently diagnosed after curative treatment windows have narrowed, creating a need for minimally ...
Mi Hyeon Cho   +13 more
wiley   +1 more source

Kervenregister en volkstelling Leiden, 1581

open access: yes, 2007
This dataset contains data from the sources 'Kervenregister' and 'Volkstelling' of Leiden in 1581. The dataset combines data on affluent tax payers ('Kervenregister') and demographic data on the inhabitants (census registers). One file concerns the data
European Social Fund/DABURH, Department of History, Leiden University
core   +1 more source

Predicting Single‐Cell Perturbation Responses Across Biological Contexts With a Deep Generative Model Integrating Optimal Transport

open access: yesAdvanced Science, EarlyView.
Single‐cell perturbation responses are predicted across held‐out biological contexts using scPILOT, a query‐conditioned two‐stage latent response‐transfer framework. A shared latent representation supports cell‐level response estimation by latent optimal transport, followed by Leiden‐localized query‐specific transfer and adaptive weighting.
Jialiang Wang   +10 more
wiley   +1 more source

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

open access: yesAdvanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia   +4 more
wiley   +1 more source

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