Article

Immune-Based Prediction of COVID-19 Severity and Chronicity Decoded Using Machine Learning

2020-12-22

Abstract excerpt

<h4>ABSTRACT</h4> Individuals with systemic symptoms long after COVID-19 has cleared represent approximately ~10% of all COVID-19 infected individuals. Here we present a bioinformatics approach to predict and model the phases of COVID so that effective treatment strategies can be devised and monitored. We investigated 144 individuals including normal individuals and patients spanning the COVID-19 disease continuu...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 2822d8f6-93b1-5dc1-80bf-c3605b6868db
DOI: 10.1101/2020.12.16.423122

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Immune-Based Prediction of COVID-19 Severity and Chronicity Decoded Using Machine LearningDOI 10.1101/2020.12.16.423122Read

Multidimensional analysis of immune cells from COVID-19 patients identified cell subsets associated with the severity at hospital admissionSemantic proximity Read

Data-driven analysis of COVID-19 reveals specific severity patterns distinct from the temporal immune responseSemantic proximity Read

Immune phenotypes that predict COVID-19 severitySemantic proximity Read

Multiomic Immunophenotyping of COVID-19 Patients Reveals Early Infection TrajectoriesSemantic proximity Read

Multiomic Immunophenotyping of COVID-19 Patients Reveals Early Infection TrajectoriesSemantic proximity Read

Single-cell multiomics revealed the dynamics of antigen presentation, immune response and T cell activation in the COVID-19 positive and recovered individualsSemantic proximity Read

A multimodal atlas of COVID-19 severity identifies hallmarks of dysregulated immunitySemantic proximity Read

Identification of COVID-19 severity biomarkers based on feature selection on single-cell RNA-Seq data of CD8+ T cellsSemantic proximity Read

Multi-omic Profiling Reveals Early Immunological Indicators for Identifying COVID-19 ProgressorsSemantic proximity Read

Identification of potentional immunological biomarkers of COVID-19 by blood transcriptome analysisSemantic proximity Read

Immunological and clinical markers of post-acute sequelae of COVID-19: Insights from mild and severe cases six months post-infectionSemantic proximity Read

Heterogeneous immunological recovery trajectories revealed in post-acute COVID-19Semantic proximity Read