Results 251 to 260 of about 186,522 (338)

Disintegrin‐Like and Metalloprotease With Thrombospondin Type 1 Repeat Motifs 13 (ADAMTS13) Activity in 40 Healthy Dogs

open access: yesVeterinary Clinical Pathology, EarlyView.
ABSTRACT Background In humans, deficiency of a disintegrin‐like and metalloprotease with thrombospondin type 1 motifs, number 13 (ADAMTS13), a von Willebrand factor (vWF) cleaving protease, is an underlying mechanism for thrombosis. The role of ADAMTS13 in canine thromboembolic disease is largely unknown.
Ashley R. Wilkinson   +2 more
wiley   +1 more source

Scaling for African Inclusion in High-Throughput Whole Cancer Genome Bioinformatic Workflows. [PDF]

open access: yesCancers (Basel)
Jiang J   +5 more
europepmc   +1 more source

Partial Analytical Validation of microRNAs‐148a and 375 for Detecting Pancreatic Injury in Healthy Dogs and Dogs With Pancreatitis

open access: yesVeterinary Clinical Pathology, EarlyView.
ABSTRACT Background microRNAs (miRNA) have been proposed as biomarkers for pancreatitis in dogs due to their high peak concentrations and experimental correlation with acinar cell injury. However, analytical validation and the effect of interfering substances are unknown.
Caylen Erger   +2 more
wiley   +1 more source

CartiSurface: implicit surface reconstruction for anatomically-aware cartilage thickness mapping in knee MRI. [PDF]

open access: yesNPJ Digit Med
Wang P   +8 more
europepmc   +1 more source

Sensitivity to Geometric Shape Regularity Emerges Independently of Vision. [PDF]

open access: yesOpen Mind (Camb)
Adriano A   +4 more
europepmc   +1 more source

Longitudinal Alzheimer’s Disease Progression Modelling via Hybrid Vision Transformers and Recurrent Neural Networks With Cross‐Modal Feature Fusion

open access: yesExpert Systems, Volume 43, Issue 3, March 2026.
ABSTRACT Modelling the evolution of Alzheimer's disease (AD) requires a thorough spatiotemporal study of longitudinal neuroimaging data. We propose in this paper a novel deep learning framework that uses a parallel combination of Recurrent Neural Networks (RNNs) and Vision Transformers (ViT) to extract temporal disease dynamics and spatial structural ...
Sahbi Bahroun, Gwanggil Jeon
wiley   +1 more source

Function Level Parallelism Lead by Data Dependencies

open access: green, 2006
Sean Rul   +2 more
openalex   +1 more source

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