Search Results - "Schwager, Emma"
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Multivariable association discovery in population-scale meta-omics studies
Published in PLoS computational biology (16-11-2021)“…It is challenging to associate features such as human health outcomes, diet, environmental conditions, or other metadata to microbial community measurements,…”
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Assessment of variation in microbial community amplicon sequencing by the Microbiome Quality Control (MBQC) project consortium
Published in Nature biotechnology (01-11-2017)“…The Microbiome Quality Control project consortium reports outcomes of a baseline study (MBQC) that will guide future improvements in reproducibility of…”
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The Treatment-Naive Microbiome in New-Onset Crohn’s Disease
Published in Cell host & microbe (12-03-2014)“…Inflammatory bowel diseases (IBDs), including Crohn’s disease (CD), are genetically linked to host pathways that implicate an underlying role for aberrant…”
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A Bayesian method for detecting pairwise associations in compositional data
Published in PLoS computational biology (01-11-2017)“…Compositional data consist of vectors of proportions normalized to a constant sum from a basis of unobserved counts. The sum constraint makes inference on…”
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A statistical model for describing and simulating microbial community profiles
Published in PLoS computational biology (01-09-2021)“…Many methods have been developed for statistical analysis of microbial community profiles, but due to the complex nature of typical microbiome measurements…”
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Integrative analysis of the microbiome and metabolome of the human intestinal mucosal surface reveals exquisite inter-relationships
Published in Microbiome (05-06-2013)“…Consistent compositional shifts in the gut microbiota are observed in IBD and other chronic intestinal disorders and may contribute to pathogenesis. The…”
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Association of systolic, diastolic, mean, and pulse pressure with morbidity and mortality in septic ICU patients: a nationwide observational study
Published in Annals of intensive care (20-02-2023)“…Background Intensivists target different blood pressure component values to manage intensive care unit (ICU) patients with sepsis. We aimed to evaluate the…”
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Machine learning modelling for predicting the utilization of invasive and non‐invasive ventilation throughout the ICU duration
Published in Healthcare technology letters (01-08-2024)“…The goal of this work is to develop a Machine Learning model to predict the need for both invasive and non‐invasive mechanical ventilation in intensive care…”
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Machine learning prediction of the total duration of invasive and non-invasive ventilation During ICU Stay
Published in PLOS digital health (01-09-2023)“…Predicting the duration of ventilation in the ICU helps in assessing the risk of ventilator-induced lung injury, ensuring sufficient oxygenation, and…”
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Opioid Administration Practice Patterns in Patients With Acute Respiratory Failure Who Undergo Invasive Mechanical Ventilation
Published in Critical care explorations (01-07-2024)“…The opioid crisis is impacting people across the country and deserves attention to be able to curb the rise in opioid-related deaths. To evaluate practice…”
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Fluoride Depletes Acidogenic Taxa in Oral but Not Gut Microbial Communities in Mice
Published in mSystems (01-07-2017)“…Fluoridation of drinking water and dental products prevents dental caries primarily by inhibiting energy harvest in oral cariogenic bacteria (such as and ),…”
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1078: Predicting Invasive and Noninvasive Ventilation During an ICU Stay
Published in Critical care medicine (01-01-2021)Get full text
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Accurate and interpretable prediction of ICU-acquired AKI
Published in Journal of critical care (01-06-2023)“…We developed and validated two parsimonious algorithms to predict the time of diagnosis of any stage of acute kidney injury (any-AKI) or moderate-to-severe AKI…”
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Reprograming of gut microbiome energy metabolism by the FUT2 Crohn’s disease risk polymorphism
Published in The ISME Journal (01-11-2014)“…Fucosyltransferase 2 ( FUT2 ) is an enzyme that is responsible for the synthesis of the H antigen in body fluids and on the intestinal mucosa. The H antigen is…”
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High-sensitivity pattern discovery in large, paired multiomic datasets
Published in Bioinformatics (24-06-2022)“…Abstract Motivation Modern biological screens yield enormous numbers of measurements, and identifying and interpreting statistically significant associations…”
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Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning
Published in Clinical kidney journal (01-05-2021)“…Acute kidney injury (AKI) carries a poor prognosis. Its incidence is increasing in the intensive care unit (ICU). Our purpose in this study is to develop and…”
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Estimation of Baseline Serum Creatinine with Machine Learning
Published in American journal of nephrology (01-11-2021)“…Comparing current to baseline serum creatinine is important in detecting acute kidney injury. In this study, we report a regression-based machine learning…”
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Including urinary output to define AKI enhances the performance of machine learning models to predict AKI at admission
Published in Journal of critical care (01-04-2021)“…Acute kidney injury (AKI) is a prevalent and detrimental condition in intensive care unit patients. Most AKI predictive models only predict…”
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Statistical Methods for Sequence-Based Microbial Community Assays
Published 01-01-2017“…The human microbiome comprises the totality of micro-organisms residing in and on the human body. Of late, it has been the subject of much intensive research…”
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