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potential prediction » potential application (Expand Search)
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Predicting Malignant Potential of Gastrointestinal Stromal Tumors Using Endoscopic Ultrasound
Published 2009“…Conclusions EUS characteristics of tumor size, extraluminal border, depth, and heterogeneity can be used to predict malignant potential of GISTs.…”
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Potential Biomarkers to Predict Acute Ischemic Stroke in Type 2 Diabetes
Published 2021“…We hypothesized that those biomarkers indicative of acute ischemic stroke (AIS) seen in large vessel occlusion (LVO) may also be elevated in T2D and further enhanced by stress conditions; therefore, these proteins represent potentially predictive biomarkers for those T2D patients at high risk of AIS.…”
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The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu...
Published 2019“…Somewhat surprisingly, the catalytically active form, methylated PP2A (mePP2A) was significantly decreased. In close correlation to these data, the phosphorylation state of two substrate proteins, sensitive to PP2A activity, GSK3β and Tau were found to be increased. …”
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity
Published 2024“…Here, we combined molecular dynamics (MD) simulation and mutational analysis to show that the R162A mutation results in a decreased but stable <u>bioluminescence </u>activity of NLuc in living cells and in vitro. …”
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Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex
Published 2022“…In this regard, the recent SARS-CoV-2 alpha, beta, and gamma variants (B.1.1.7, B.1.351, and P.1 lineages, respectively) are of great significance in that they contain several mutations that increase their transmission rates as evident from clinical reports. …”
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Kefir exhibits anti‑proliferative and pro‑apoptotic effects on colon adenocarcinoma cells with no significant effects on cell migration and invasion
Published 2014“…Results from RT‑PCR showed that kefir decreases the expression of transforming growth factor α (TGF‑α); and transforming growth factor‑β1 (TGF‑β1) in HT‑29 cells. …”
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PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks
Published 2022“…<h3>Background</h3><p dir="ltr">Early identification of pregnant women at risk for preterm birth (PTB), a major cause of infant mortality and morbidity, has a significant potential to improve prenatal care. However, we lack effective predictive models which can accurately forecast PTB and complement these predictions with appropriate interpretations for clinicians. …”
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Impact of Ionic Strength and Charge Density on Donnan Potential in the NaCl-Cation Exchange Membrane System
Published 2023“…At higher compositions, the DH model significantly overestimates the predicted (absolute) Donnan potential compared to the Meissner model. …”
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Daucus carota pentane-based fractions arrest the cell cycle and increase apoptosis in MDA-MB-231 breast cancer cells
Published 2014“…The increase in apoptosis in response to treatment was also apparent in the increase in BAX and the decrease in Bcl-2 levels as well as the proteolytic cleavage of both caspase-3 and PARP as revealed by Western blot. …”
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Prescription Pattern of Antidepressants and the Potential for Personalized Medicine in the Qatari Population
Published 2021“…Population-level prescription trends, as we reported here, when combined with patient genetic variability and outcome data, will have the power to predict the potential for treatment failures and adverse effects of these medications in the population. …”
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Deep Learning for the Accurate Prediction of Triggered Drug Delivery
Published 2024“…The deep learning-based predictions significantly outperform linear predictions, proving the utility of advanced computational methods in drug delivery. …”
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Oligomeric and phosphorylated alpha-synuclein as potential CSF biomarkers for Parkinson’s disease
Published 2016“…Moreover, CSF o-α-syn levels correlated significantly with the severity of PD motor symptoms (<i>r</i> = -0.37).…”
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Traffic Transformer: Transformer-based framework for temporal traffic accident prediction
Published 2024“…<p dir="ltr">Reliable prediction of traffic accidents is crucial for the identification of potential hazards in advance, formulation of effective preventative measures, and reduction of accident incidence. …”