Results 71 to 80 of about 90,572 (216)
P-glycoprotein expression in plasma-cell myeloma is associated with resistance to VAD [PDF]
Joshua Epstein, HQ Xiao, BK Oba
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Background: The Advanced ventricular assist device (Advanced VAD) is designed as a universal pump intended to prevent backflow in the event of pump stoppage, to maintain physiological pulse pressure, and to be used as both a left and right VAD.
Takuma Miyamoto, MD, PhD+6 more
doaj
BackgroundBoth inflammatory cytokines and the gut microbiome are susceptibility factors for vascular dementia (VaD). The trends in the overall changes in the dynamics of inflammatory cytokines and in the composition of the gut microbiome are influenced ...
Yihan Yang+11 more
doaj +1 more source
Background: Up to 53.7% of all cases of dementia are assumed to be due to Alzheimer disease (AD), while 15.8% are considered to be due to vascular dementia (VaD).
Flavia Mayer+10 more
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Vincristine, doxorubicin and dexamethasone (VAD) administered as rapid intravenous infusion for first-line treatment in untreated multiple myeloma [PDF]
Segeren+18 more
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Background Although vascular dementia (VaD) is not uncommon in the hospital, most studies on VaD are community based. This study on VaD is the first to use a national hospital information system (HIS) in China.Methods This study was a hospital population-
Yongjun Wang+4 more
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Video Anomaly Detection in 10 Years: A Survey and Outlook [PDF]
Video anomaly detection (VAD) holds immense importance across diverse domains such as surveillance, healthcare, and environmental monitoring. While numerous surveys focus on conventional VAD methods, they often lack depth in exploring specific approaches and emerging trends.
arxiv
What Matters in Autonomous Driving Anomaly Detection: A Weakly Supervised Horizon [PDF]
Video anomaly detection (VAD) in autonomous driving scenario is an important task, however it involves several challenges due to the ego-centric views and moving camera. Due to this, it remains largely under-explored. While recent developments in weakly-supervised VAD methods have shown remarkable progress in detecting critical real-world anomalies in ...
arxiv
Variational Auto-Decoder: A Method for Neural Generative Modeling from Incomplete Data [PDF]
Learning a generative model from partial data (data with missingness) is a challenging area of machine learning research. We study a specific implementation of the Auto-Encoding Variational Bayes (AEVB) algorithm, named in this paper as a Variational Auto-Decoder (VAD).
arxiv
Clinical Experience With the MEDOS HIA-VAD System in Infants and Children: A Preliminary Report [PDF]
Wolfgang Konertz+4 more
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