// App-Quantinova.ai

: Radiotranscriptomic analysis of perivascular adipose tissue quantifies vascular inflammation in covid-19 from routine CT angiograms: Stratification of “new UK variant” Infection and prediction of in-hospital outcomes

Researchers

Presenter

  • Christos P Kotanidis

Principal Investigators

  • Cheng Xie

  • David Adlam

  • Jonathan CL Rodrigues

  • Muhammad Siddique

  • Helen Lockstone

  • Sheena Thomas

  • Rafail Kotronias

  • Evangelos K Oikonomou

  • Sheila F Lumley

  • Stefan Neubauer

  • David E Newby

  • Keith M Channon

  • John Deanfield

  • Charalambos Antoniades

Medical Centers

  • Institute of Cardiovascular Science, University College London, London, United Kingdom

  • Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford

  • Caristo Diagnostics, Oxford

  • British Heart Foundation-National Institute of Health Research Cardiovascular Partnership

  • Acute Vascular Imaging Centre, NIHR Biomedical Research Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust and University of Oxford, UK

  • British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh

  • Department of Cardiovascular Sciences and NIHR Leicester Biomedical Research Centre, University of Leicester, UK

  • Department of Radiology, Royal United Hospitals Bath NHS Foundation Trust, UK

  • Radcliffe Department of Medicine, University of Oxford, UK

  • Department of Internal Medicine, Yale-New Haven Hospital, Yale School of Medicine, New Haven, USA

Locations

  • United Kingdom

  • United States

Companies

  • N/A

Study Components

Therapeutic Area

  • Infectious Diseases (ID)

Disease

  • Coronavirus disease

Biomarkers

  • N/A

Drug/Treatment

  • N/A

Outcome

  • N/A


Study Design

  • N/A

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • N/A