EPoCA | Empowering Africa's Point of Care with Cutting-edge Graphene Biosensing for Rapid Detection and Interconnected Surveillance of Novel Ebola Virus Outbreaks.

Summary
This project proposes developing, preclinical and clinical validation of a Point of Care (PoC) biosensing platform based on multiplexed field-effect sensor technology based on graphene monolayers functionalized with specific and oriented recognizing biomolecules (BioGFET). This technology will be used for the rapid and remote diagnosis of Ebola infection by titrating specific biomarkers in peripheral blood samples. To strengthen the diagnostic ability and offer a robust differential triage of patients, serological biomarkers specific for the virus and biomarkers specific for infection severity will be analyzed and compared simultaneously (Figure). Therefore, the final correlation between the achieved parameters will offer a robust and rapid triage of patients, thus, permitting to identify rapidly at the point-of-care potential Ebola outbreaks and offering to physicians a more precise overview of the patient status before knowing the confirming laboratory results. Besides the proposed technology, another key point of this device is represented by its IA-based cloud networking. In fact, once processed and retrieved, the locally achieved diagnostic results will be transmitted to a central server (for example, located in a General Hospital), processed by a custom-made IA software, and, in case of necessity, a health warning will be sent to all the interconnected platforms, independently to their location.
Unfold all
/
Fold all
More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/101145795
Start date: 01-07-2024
End date: 30-06-2027
Total budget - Public funding: 2 926 130,00 Euro - 2 920 255,00 Euro
Cordis data

Original description

This project proposes developing, preclinical and clinical validation of a Point of Care (PoC) biosensing platform based on multiplexed field-effect sensor technology based on graphene monolayers functionalized with specific and oriented recognizing biomolecules (BioGFET). This technology will be used for the rapid and remote diagnosis of Ebola infection by titrating specific biomarkers in peripheral blood samples. To strengthen the diagnostic ability and offer a robust differential triage of patients, serological biomarkers specific for the virus and biomarkers specific for infection severity will be analyzed and compared simultaneously (Figure). Therefore, the final correlation between the achieved parameters will offer a robust and rapid triage of patients, thus, permitting to identify rapidly at the point-of-care potential Ebola outbreaks and offering to physicians a more precise overview of the patient status before knowing the confirming laboratory results. Besides the proposed technology, another key point of this device is represented by its IA-based cloud networking. In fact, once processed and retrieved, the locally achieved diagnostic results will be transmitted to a central server (for example, located in a General Hospital), processed by a custom-made IA software, and, in case of necessity, a health warning will be sent to all the interconnected platforms, independently to their location.

Status

SIGNED

Call topic

HORIZON-JU-GH-EDCTP3-2023-01-04

Update Date

15-11-2024
Images
No images available.
Geographical location(s)
Structured mapping
Unfold all
/
Fold all
Horizon Europe
HORIZON.2 Global Challenges and European Industrial Competitiveness
HORIZON.2.1 Health
HORIZON.2.1.0 Cross-cutting call topics
HORIZON-JU-GH-EDCTP3-2023-01
HORIZON-JU-GH-EDCTP3-2023-01-04 Research to rapidly evaluate interventions on Ebola outbreaks in sub-Saharan Africa