A5027402224- Bioinformatics and Genomic Networks
- Advanced Proteomics Techniques and Applications
- Machine Learning in Bioinformatics
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Long-Term Effects of COVID-19
- Health Policy Implementation Science
- Ethics and Social Impacts of AI
- Geriatric Care and Nursing Homes
- RNA modifications and cancer
- Genetic Associations and Epidemiology
- Criminal Justice and Corrections Analysis
Washington University in St. Louis
2022-2024
Identification of proteins dysregulated by COVID-19 infection is critically important for better understanding its pathophysiology, building prognostic models, and identifying new targets. Plasma proteomic profiling 4,301 was performed in two independent datasets tested the association three outcomes (infection, ventilation, death). We identified 1,449 consistently associated both with any these outcomes. subsequently created highly accurate models that distinctively predict infection,...
Child welfare (CW) agencies use risk assessment tools as a means to achieve evidence-based, consistent, and unbiased decision-making. These assessments act data collection mechanisms have been further developed into algorithmic systems in recent years. Moreover, several of these algorithms reinforced biased theoretical constructs predictors because the easy availability structured data. In this study, we critically examine Washington Assessment Risk Model (WARM), prominent tool that has...
Abstract Comprehensive expression quantitative trait loci studies have been instrumental for understanding tissue-specific gene regulation and pinpointing functional genes disease-associated in a manner. Compared to expressions, proteins more directly affect various biological processes, often dysregulated disease, are important drug targets. We previously performed identified protein brain, cerebrospinal fluid, plasma. now enhance this work by analyzing (1,300 versus 1,079) an almost...
Abstract Identification of the plasma proteomic changes Coronavirus disease 2019 (COVID-19) is essential to understanding pathophysiology and developing predictive models novel therapeutics. We performed deep profiling from 332 COVID-19 patients 150 controls pursued replication in an independent cohort (297 cases 76 controls) find potential biomarkers causal proteins for three outcomes (infection, ventilation, death). identified replicated 1,449 associated with any (841 infection, 833 253...
Child welfare (CW) agencies use risk assessment tools as a means to achieve evidence-based, consistent, and unbiased decision-making. These assessments act data collection mechanisms have further evolved into algorithmic systems in recent years. Moreover, several of these algorithms reinforced biased theoretical constructs predictors because the easy availability structured data. In this study, we critically examine Washington Assessment Risk Model (WARM), prominent tool that has been...