Digital Health AMR Hub awards 5 Partnership Funds
The Digital Health AMR Hub is proud to announce several successful projects supported by our Partnership Fund, each driving forward solutions to tackle antimicrobial resistance (AMR).
1. Enhancing Diagnostic Accuracy with Machine Learning
A collaboration with the U.S. Food and Drug Administration (FDA) focuses on integrating machine learning into point-of-care diagnostics. This project aims to improve the specificity and sensitivity of lateral flow tests, essential for accurate infection diagnosis and better antibiotic stewardship.
2. Genomic Epidemiology Hub (GEiSHA)
The GEiSHA project seeks to develop a global database for source attribution of microbial infections, leveraging machine learning to identify origins of infections rapidly. This initiative will create a comprehensive resource to aid in the fight against AMR across One Health disciplines.
3. Hospital Wastewater Surveillance
At Great Ormond Street Hospital, researchers are exploring whether wastewater-based AMR surveillance correlates with patient infection rates. This study could pave the way for incorporating environmental data into routine healthcare surveillance.
4. AI-Driven Binder Design for Diagnostics
In partnership with Nanograb, a project is underway to use AI tools for designing specific binders for lateral flow immunoassays. This innovation aims to enhance diagnostic precision, particularly for distinguishing between drug-resistant strains.
5. Digitally Linked Pathogen Sequencing
Focusing on the Neonatal Intensive Care Unit at UCLH, this project examines the impacts of empirical antibiotic prescribing on infants. By analysing sequencing data and patient health metrics, the study seeks to improve early diagnosis and reduce unnecessary antibiotic use.
The Hub remains committed to fostering interdisciplinary collaboration, leveraging digital technologies to address AMR. We look forward to sharing more updates as these initiatives progress.
For more information about our Fellowships and future opportunities, visit our Skills and Funding page.
