Search alternatives:
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
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8881
Image 1_Cancer-associated fibroblasts gene signature: a novel approach to survival prediction and immunotherapy guidance in colon cancer.tif
Published 2025“…A higher immune infiltration rate and lower IC50 values of anticancer drugs were significant in the high-risk group. In cellular experiments, Following MAN1B1 knockdown, in cell assays, the colony formation, migration, and invasion ability of HCT116 and HT29 cell lines decreased.…”
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8882
Aquaporin and red cell O2 permeability
Published 2025“…We find that at 7°/10°C lack of AQP1 in the red cell membrane causes significant reductions of PO2, by 20% in human and by 37% in mouse red cells. …”
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8883
Data Sheet 1_Global, regional, and national epidemiology of otitis media in children from 1990 to 2021.docx
Published 2025“…Key risk factors identified include secondhand smoke, particulate matter pollution, low birth weight, and short gestation. Additionally, a significant inverse association was found between the SDI and the burden of OM, with age-standardized DALY rates decreasing markedly as SDI increased.…”
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8884
Image 3_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif
Published 2025“…These subtypes exhibited significantly different distributions between AF and SR. …”
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8885
Table 3_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx
Published 2025“…These subtypes exhibited significantly different distributions between AF and SR. …”
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8886
Table 8_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx
Published 2025“…These subtypes exhibited significantly different distributions between AF and SR. …”
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8887
Data Sheet 1_α-Mangostin prevents diabetic cardiomyopathy by inhibiting oxidative damage and lipotoxicity through the AKT–FOXO1–CD36 pathway.pdf
Published 2025“…Oxidative stress and lipid metabolism disorder-induced myocardial cell damage are part of the pathogenesis of DCM. In this study, we investigated the effects of alpha-mangostin (A-MG), a natural antioxidant extracted from mangosteen peel, on in vitro and in vivo DCM models.…”
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8888
Table 2_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx
Published 2025“…These subtypes exhibited significantly different distributions between AF and SR. …”
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8889
Table 1_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx
Published 2025“…These subtypes exhibited significantly different distributions between AF and SR. …”
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8890
P4HA3 deficiency increased sensitization to immune checkpoint inhibitors and P4HA3 could predict the clinical therapeutic effect of PD-1 inhibitor (Camrelizumab).
Published 2024“…P4HA3 and Ki-67 were decreased in the knockdown groups by siRNA compared to the NC group. …”
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8891
Image 2_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif
Published 2025“…These subtypes exhibited significantly different distributions between AF and SR. …”
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8892
Table 6_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx
Published 2025“…These subtypes exhibited significantly different distributions between AF and SR. …”
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8893
Table 5_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx
Published 2025“…These subtypes exhibited significantly different distributions between AF and SR. …”
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8894
Image 5_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif
Published 2025“…These subtypes exhibited significantly different distributions between AF and SR. …”
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8895
Image 1_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tiff
Published 2025“…These subtypes exhibited significantly different distributions between AF and SR. …”
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8896
Table 7_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx
Published 2025“…These subtypes exhibited significantly different distributions between AF and SR. …”
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8897
Table 4_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx
Published 2025“…These subtypes exhibited significantly different distributions between AF and SR. …”
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8898
Image 6_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif
Published 2025“…These subtypes exhibited significantly different distributions between AF and SR. …”
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8899
Image 4_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif
Published 2025“…These subtypes exhibited significantly different distributions between AF and SR. …”
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8900
Effects of liposomal bupivacaine (LB) and provider experience with LB on service utilization, clinical outcomes, and Medicare expenditures among fee-for-service (FFS) beneficiaries
Published 2025“…</p><p>Using an IPTW propensity score model and associated outcome regressions we find that both LB use and provider LB use rate had a statistically significant impact on reducing total Medicare expenditures per patient per 180-day episode ($245 and $258 respectively, p < 0.01), with the most significant reduction in spending for Inpatient and SNF care settings. …”