Publicaciones en colaboración con investigadores/as de Uniformed Services University of the Health Sciences (6)

2023

  1. A machine learning approach identifies distinct early-symptom cluster phenotypes which correlate with hospitalization, failure to return to activities, and prolonged COVID-19 symptoms

    PLoS ONE, Vol. 18, Núm. 2 February

2022

  1. Anatomical Site, Viral Ribonucleic Acid Abundance, and Time of Sampling Correlate with Molecular Detection of Severe Acute Respiratory Syndrome Coronavirus 2 during Infection

    Open Forum Infectious Diseases, Vol. 9, Núm. 3

  2. COVID-19 Patient-Reported Symptoms Using FLU-PRO Plus in a Cohort Study: Associations with Infecting Genotype, Vaccine History, and Return to Health

    Open Forum Infectious Diseases, Vol. 9, Núm. 7

  3. Distinct blood inflammatory biomarker clusters stratify host phenotypes during the middle phase of COVID-19

    Scientific Reports, Vol. 12, Núm. 1

2010

  1. WCE 2010 - World Congress on Engineering 2010: Preface

    WCE 2010 - World Congress on Engineering 2010

  2. WCE 2010 - World Congress on Engineering 2010: Preface

    WCE 2010 - World Congress on Engineering 2010