Publications by authors named "C C Quirk"
Pathogen encounter can result in epigenetic remodeling that shapes disease caused by heterologous pathogens. Here, we examined innate immune memory in the context of commonly circulating respiratory viruses. Single-cell analyses of airway-resident immune cells in a disease-relevant murine model of SARS-CoV-2 recovery revealed epigenetic reprogramming in alveolar macrophages following infection.
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- A growing trend in research is using deep neural networks (DNNs) on EEG recordings to diagnose disorders, but there's concern about data leakage.
- Many studies randomly assign EEG segments to training or test sets, leading to the same subjects’ data being in both sets, potentially skewing accuracy results.
- Our research shows that performance metrics using a segment-based holdout strategy can greatly overestimate classifier accuracy on new subjects, highlighting a major issue in current DNN-EEG studies.
Pathogen encounter results in long-lasting epigenetic imprinting that shapes diseases caused by heterologous pathogens. The breadth of this innate immune memory is of particular interest in the context of respiratory pathogens with increased pandemic potential and wide-ranging impact on global health. Here, we investigated epigenetic imprinting across cell lineages in a disease relevant murine model of SARS-CoV-2 recovery.
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