EG
Esteban Garcia-Gallo
University of Oxford, Universidad de Antioquia, Universidad Escuela de Ingenieria de Antioquia
Research areas: Medicine · Infectious Diseases · COVID-19 Clinical Research Studies · Sepsis Diagnosis and Treatment · Pneumonia and Respiratory Infections
Employment
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University of Oxford Senior Biostatistician
Education
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Universidad de Antioquía PhD in Electronic Engineering2015 - 2019
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Universidad Escuela de Ingenieria de Antioquia Magister in Biomedical Engineering2012 - 2013
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Universidad de Antioquía Bioengineer2005 - 2011
Projects & Funding
Projects & funding information is unavailable.
Publications (16)
- Predictive Models for Dengue Severity, Mortality and Hospitalization: A Systematic Review and Meta-Analysis Protocol Save
- Decade-long antiretroviral therapy in Uganda: Population-health outcomes from a national HIV treatment cohort, 2014–2024 Save
- Machine-Learning-Driven L-SCAP Score for Predicting 1-Year Mortality After Severe Pneumonia: Development and Validation Save
- Global Preparedness for Clinical Research in Emerging Infections: Lessons from ISARIC's Data-Driven Covid-19 Response Save
- Observational study on the clinical epidemiology of infectious acute encephalitis syndrome including Nipah virus disease, Bangladesh: BASE cohort study protocol Save
- Long Covid: a global health issue – a prospective, cohort study set in four continents Save
- Optimising Clinical Epidemiology in Disease Outbreaks: Analysis of ISARIC-WHO COVID-19 Case Report Form Utilisation Save
- A machine learning-based model for 1-year mortality prediction in patients admitted to an Intensive Care Unit with a diagnosis of sepsis Save
- Modelo para la predicción de la mortalidad a un año en pacientes ingresados en una unidad de cuidados intensivos con diagnóstico de sepsis Save
- Scores to Predict Long-term Mortality in Patients with Severe Pneumonia Still Lacking Save
- One-Year Mortality Prediction in ICU Patients with Diagnosis of Sepsis Driven by Population Similarities Save
- Scoring System for the One-Year Mortality Prediction of Sepsis Patients in Intensive Care Units Save
- Design of Organic Scintillators for Non-Standard Radiation Field Dosimetry: Experimental Setup Save
- Telehealth mobile system Save
- Development of a Model That Uses Data Obtained in the Admission to Predict One-Year Mortality in Patients with Sepsis in the Intensive Care Unit Save
- Optimising Clinical Epidemiology in Disease Outbreaks: Analysis of ISARIC-WHO COVID-19 Case Report Form Utilisation Save