“…Method: An online questionnaire survey was conducted from April 28 through May 12, 2020 using an exponential, non-discriminative snowball sampling strategy (registered at the National Institutes of Health: NCT04365361). …”
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“…OBJECTIVE: To evaluate a novel β-amyloid (Aβ)-PET–based quantitative measure (Aβ accumulation index [Aβ index]), including the assessment of its ability to discriminate between participants based on Aβ status using visual read, CSF Aβ(42)/Aβ(40), and post-mortem neuritic plaque burden as standards of truth. …”
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“…These studies used different expression scoring criteria and generally had poor ability to discriminate likelihood for response. Overall, the data suggests CD8(+) T cell infiltration is necessary to mediate an antitumor immune response, but other immune cell populations, such as neutrophils may suppress T cell-mediated immunity and efficacy of PD-1/PD-L1 blockade. …”
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“…Breath VOCs were assayed with GC-MS and data were analyzed in order to identify the significant breath VOC biomarkers that discriminated between ILI patients with and without a PCR assay positive for influenza with greater than random accuracy. …”
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“…Quarterly comparison of HO CDI incidence for 2017-2020 [Image: see text] HO CDI incidence before and following phase 1 and phase 2 interventions [Image: see text] C. difficile antibiotic use trends during intervention period [Image: see text] CONCLUSION: IP run diagnostic stewardship programs with two step tests are highly successful in streamlining testing and in discriminating infection from colonization DISCLOSURES: All Authors: No reported disclosures…”
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“…Hypothesizing that systemically elevated but sparsely connected inflammatory mediators represent pathological inflammation, we calculated the AuCon score (area under the curve derived from multiple measures over time divided by DyNA connectivity) for each mediator, and identified HMGB1, MIG, IP-10/CXCl10, sIL-2Rα, and MCP-1/CCL2 as potential correlates of PALF pathophysiology, largely in agreement with the results of Partial Least Squares Discriminant Analysis. Since NS were in the INF age group, we compared NS to INF and found greater inflammatory coordination and dynamic network connectivity in NS vs. …”
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“…Measured and computed ∆P(L) and P(mus) were compared and discriminative performance for excessive ∆P(L) and P(mus) was assessed. …”
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“…The emerging challenge now is the selection of most discriminative information from high-dimensional data collected from multiple sources. …”
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“…Conclusion: HBB, RNASE2, S100A9, and IL1R2 were identified as potential biomarkers to discriminate IPAH from the control. There was an obvious difference in immune infiltration between patient with IPAH and normal groups.…”
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“…Myosteatosis degree powerfully discriminated NASH from benign NAFL and normal liver (area under the receiver operating characteristic = 0.96, n = 67, P 60; 0.001). …”
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“…However, MH(+) collision-induced product ions spectra were not conclusive in discriminating between the positional isomers [(3-MeO-PCP vs. 4-MeO-PCP) and (3-MMC vs. 4-MMC and 2-MMC)]. …”
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“…Using the COPS system, 28-day survival rates were discriminatively estimated at 99.8%, 95.4%, 82.3%, and 55.1% in the low-risk, intermediate-risk, high-risk, and very high-risk groups, respectively, of the total cohort (P<.001). …”
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“…Both Lumipulse and Elecsys methods were highly concordant with clinical diagnoses, and the combination of Lumipulse Aβ42 and P-tau had the highest discriminating power (AUC 0.915, 95% CI 0.822–1.000). …”
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“…In grouping ability assessment, the area under the curves (AUCs) in distinguishing different groups ranged from 0.737 to 0.94, better in discriminating MYCN status and high risk in training cohort (higher than 0.9). …”
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“…Results showed that we identified three ETs driven by discriminative genera dominated by Lactobacillus, Clostridium sensu stricto 1, and Bacteroides, respectively. …”
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“…RESULTS: T‐tau, NfL, GFAP, and YKL‐40 discriminated between diagnostic groups (receiver operating curve: 0.647–0.873). …”
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“…Internal consistency of items was assessed using Cronbach alpha (α), composite reliability (CR) and average variance extracted (AVE) to evaluate both discriminant and convergent validity of constructs. The extent of relationship among variables were evaluated by Structural equation modeling (SEM) using SPSS Amos version 23. …”
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“…Changes in RSS were used to discriminate Responders (R >3 decrease in RSS) to treatment from Non-Responders (NR <3 decrease). 13 Responders and 13 Non-Responders were selected. …”
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“…ExoGrail risk (range 0–1) was able to determine the outcome of an initial trans-rectal ultrasound guided (TRUS) biopsy more accurately than clinical standards of care, predicting the presence of any cancer with an area under the receiver operator curve (AUC) = 0.89 (95% confidence interval(CI): 0.85–0.94), and discriminating more aggressive Gleason ≥ 3 + 4 disease returning an AUC = 0.84 (95% CI: 0.78–0.89). …”
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“…Data were analyzed using discriminant function analysis and multinomial logistic regression analysis. …”
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