// App-Quantinova.ai

: Comparing global rating scores from simulation-based diabetes and endocrine scenarios between healthcare professionals of high- and low- and middle-income countries

Researchers

Presenter

  • Zakee Abdi

Principal Investigators

  • Dengyi Zhou

  • Kashish Malhotra

  • Anisah Ali

  • Jameela Sheikh

  • Pavithra Sakthivel

  • Emily Warmington

  • Carina Synn Cuen Pan

  • Wentin Chen

  • Harjeet Kaur

  • Rachel Nirmal

  • Vina Soran

  • Isabel Allison

  • Nia Evans

  • Dwi Delson

  • Meri Davitadze

  • Punith Kempegowda

  • Simba Simulation

Medical Centers

  • Medical University Plovdiv, Plovdiv, Bulgaria

  • Blizard Institute, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, UK

  • College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK

  • Dayanand Medical College and Hospital, Ludhiana, India,

  • Royal Glamorgan Hospital, Cwm Taf Morgannwg University Health Board, Rhondda Cynon Taff, United Kingdom

  • School of Medicine, University of Dundee, Dundee, UK

  • Georgian-American Family Medicine Clinic ’Medical House’, Georgia

  • Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK

Locations

  • Bulgaria

  • United Kingdom

  • India

  • Georgia

Companies

  • N/A

Study Components

Therapeutic Area

  • Endocrine/metabolic Diseases (ME)

Disease

  • Diabetes

Biomarkers

  • N/A

Drug/Treatment

  • N/A

Outcome

  • N/A


Study Design

  • N/A

Phase

  • N/A

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • N/A