Project

ENERGISE: nExt-geNEration Rapid phenotypic bacterioloGy dIagnostics for low-reSource and rEmote settings

Code
G0AEK24N
Duration
01 January 2024 → 31 December 2026
Funding
Research Foundation - Flanders (FWO)
Promotor
Research disciplines
  • Natural sciences
    • Machine learning and decision making
    • Bacteriology
  • Medical and health sciences
    • Microbial diagnostics
  • Engineering and technology
    • Biophotonics
    • Other biotechnology, bio-engineering and biosystem engineering not elsewhere classified
Keywords
Bacterial diagnostics artificial intelligence antimicrobial resistance testing
 
Project description

Antimicrobial resistance (AMR) is a major global threat, particularly in low-resource settings (LRS)
like sub-Saharan Africa. Alas, diagnosing bacterial infections and preventing AMR is hampered by a
lack of feasible diagnostic tests, like blood culture diagnostics. Current methods are exceedingly
complex to implement in the settings where the crisis of AMR is already most acute. To address this,
a partnership between the Institute of Tropical Medicine and Ghent University has developed a simple
and affordable device called the turbidimeter. It detects bacterial growth in blood culture samples
and preliminary findings suggest that it would be able to identify the causative bacterium.
Additionally, McGill University has created the QolorPhAST microfluidic platform, which rapidly
determines bacterial susceptibility phenotypes to antibiotics. The ENERGISE project aims to develop
and combine these technologies to create a powerful and modular bacteriology system. This system
will allow detection and identification of bacteria from blood cultures and provide rapid antimicrobial
susceptibility testing directly from incubated blood. The goal is to drastically improve diagnostic
capabilities in low-resource and remote areas, where AMR is a present-day emergency. These
advancements will bridge a crucial obstacle to identifying infections and selecting appropriate
antibiotic treatments.