Browsing by Author "Henao, Ricardo"
Now showing items 1-20 of 40
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A blood-based host gene expression assay for early detection of respiratory viral infection: an index-cluster prospective cohort study.
(The Lancet. Infectious diseases, 2020-09-24)BACKGROUND:Early and accurate identification of individuals with viral infections is crucial for clinical management and public health interventions. We aimed to assess the ability of transcriptomic biomarkers to identify ... -
A community approach to mortality prediction in sepsis via gene expression analysis.
(Nature communications, 2018-02)Improved risk stratification and prognosis prediction in sepsis is a critical unmet need. Clinical severity scores and available assays such as blood lactate reflect global illness severity with suboptimal performance, and ... -
A comparison of host response strategies to distinguish bacterial and viral infection.
(PloS one, 2021-01)<h4>Objectives</h4>Compare three host response strategies to distinguish bacterial and viral etiologies of acute respiratory illness (ARI).<h4>Methods</h4>In this observational cohort study, procalcitonin, a 3-protein panel ... -
A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection.
(Nature communications, 2018-10-24)The response to respiratory viruses varies substantially between individuals, and there are currently no known molecular predictors from the early stages of infection. Here we conduct a community-based analysis to determine ... -
A Deep-Learning Algorithm for Thyroid Malignancy Prediction From Whole Slide Cytopathology Images
We consider thyroid-malignancy prediction from ultra-high-resolution whole-slide cytopathology images. We propose a deep-learning-based algorithm that is inspired by the way a cytopathologist diagnoses the slides. The algorithm ... -
A flexible statistical model for alignment of label-free proteomics data--incorporating ion mobility and product ion information.
(BMC Bioinformatics, 2013-12-16)BACKGROUND: The goal of many proteomics experiments is to determine the abundance of proteins in biological samples, and the variation thereof in various physiological conditions. High-throughput quantitative proteomics, ... -
A host gene expression approach for identifying triggers of asthma exacerbations.
(PloS one, 2019-01)RATIONALE:Asthma exacerbations often occur due to infectious triggers, but determining whether infection is present and whether it is bacterial or viral remains clinically challenging. A diagnostic strategy that clarifies ... -
A miRNA Host Response Signature Accurately Discriminates Acute Respiratory Infection Etiologies.
(Frontiers in microbiology, 2018-01)Background: Acute respiratory infections (ARIs) are the leading indication for antibacterial prescriptions despite a viral etiology in the majority of cases. The lack of available diagnostics to discriminate viral and bacterial ... -
A network of substrates of the E3 ubiquitin ligases MDM2 and HUWE1 control apoptosis independently of p53.
(Sci Signal, 2013-05-07)In the intrinsic pathway of apoptosis, cell-damaging signals promote the release of cytochrome c from mitochondria, triggering activation of the Apaf-1 and caspase-9 apoptosome. The ubiquitin E3 ligase MDM2 decreases the ... -
An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility.
(Genome medicine, 2021-05)<h4>Background</h4>While genome-wide associations studies (GWAS) have successfully elucidated the genetic architecture of complex human traits and diseases, understanding mechanisms that lead from genetic variation ... -
An integrated transcriptome and expressed variant analysis of sepsis survival and death.
(Genome Med, 2014)BACKGROUND: Sepsis, a leading cause of morbidity and mortality, is not a homogeneous disease but rather a syndrome encompassing many heterogeneous pathophysiologies. Patient factors including genetics predispose to poor ... -
Assessment of the Feasibility of Using Noninvasive Wearable Biometric Monitoring Sensors to Detect Influenza and the Common Cold Before Symptom Onset.
(JAMA network open, 2021-09)<h4>Importance</h4>Currently, there are no presymptomatic screening methods to identify individuals infected with a respiratory virus to prevent disease spread and to predict their trajectory for resource allocation.<h4>... -
Average Weighted Accuracy: Pragmatic Analysis for a Rapid Diagnostics in Categorizing Acute Lung Infections (RADICAL) Study.
(Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2020-06)Patient management relies on diagnostic information to identify appropriate treatment. Standard evaluations of diagnostic tests consist of estimating sensitivity, specificity, positive/negative predictive values, likelihood ... -
Blood RNA alternative splicing events as diagnostic biomarkers for infectious disease
(Cell Reports Methods, 2023-01-01)Assays detecting blood transcriptome changes are studied for infectious disease diagnosis. Blood-based RNA alternative splicing (AS) events, which have not been well characterized in pathogen infection, have potential ... -
Branched chain amino acid transaminase 1 (BCAT1) is overexpressed and hypomethylated in patients with non-alcoholic fatty liver disease who experience adverse clinical events: A pilot study.
(PloS one, 2018-01)<h4>Background and objectives</h4>Although the burden of non-alcoholic fatty liver disease (NAFLD) continues to increase worldwide, genetic factors predicting progression to cirrhosis and decompensation in NAFLD remain poorly ... -
Chromatin remodeling in peripheral blood cells reflects COVID-19 symptom severity.
(bioRxiv, 2020-12-05)SARS-CoV-2 infection triggers highly variable host responses and causes varying degrees of illness in humans. We sought to harness the peripheral blood mononuclear cell (PBMC) response over the course of illness to provide ... -
Convolutional neural network to identify symptomatic Alzheimer's disease using multimodal retinal imaging.
(The British journal of ophthalmology, 2020-11-26)BACKGROUND/AIMS:To develop a convolutional neural network (CNN) to detect symptomatic Alzheimer's disease (AD) using a combination of multimodal retinal images and patient data. METHODS:Colour maps of ganglion cell-inner ... -
CPT to RVU conversion improves model performance in the prediction of surgical case length.
(Scientific reports, 2021-07-08)Methods used to predict surgical case time often rely upon the current procedural terminology (CPT) code as a nominal variable to train machine-learned models, however this limits the ability of the model to incorporate ... -
Development, Deployment, and Implementation of a Machine Learning Surgical Case Length Prediction Model and Prospective Evaluation.
(Annals of surgery, 2023-06)<h4>Objective</h4>Implement a machine learning model using only the restricted data available at case creation time to predict surgical case length for multiple services at different locations.<h4>Background</h4>The Operating ... -
Differential chromatin accessibility in peripheral blood mononuclear cells underlies COVID-19 disease severity prior to seroconversion.
(Scientific reports, 2022-07-09)SARS-CoV-2 infection triggers profound and variable immune responses in human hosts. Chromatin remodeling has been observed in individuals severely ill or convalescing with COVID-19, but chromatin remodeling early in disease ...
