
Create and clinically validate a user-friendly biosensing device that enables rapid diagnosis of Ebola infections directly at the point of care.
Integrate advanced artificial intelligence to facilitate real-time monitoring and analysis of epidemiological data, ensuring timely interventions during outbreaks.
Provide training and resources to local healthcare professionals and communities, enhancing their ability to detect and respond to Ebola effectively.
This project aims to develop, validate, and clinically test a highly innovative Point of Care (PoC) biosensing platform, based on the groundbreaking concept of multiplexing graphene field-effect sensors, each individually functionalized with specific biomolecules (antibodies, proteins, etc.). This platform will have an AI-based cloud networking data processing: local diagnostics will be transmitted to a central server, and processed by custom-made AI software, triggering health warnings to all interconnected platforms if necessary.
Lead and manage the project, ensuring consortium partners are aligned with goals and work plan implementation.
Provide scientific management, governance, and leadership for the project.
Fabricate a user-friendly portable PoC (Point-of-Care) device that enables the confinement and multiplexed analysis of patient samples.
Integrate the PoC cartridge into an IoT platform that enables real-time monitoring of the patient's status and surveillance of pandemic risks using artificial intelligence.
Determine the analytical characteristics of the diagnostic platform at laboratory level and its diagnostic limits and potential for the subsequent deployment in a real scenario and to determine the diagnostic ability of the proposed biosensor platform in a real scenario by comparing the diagnostic results achieved by EPoCA platform vs clinical standard techniques and using clinical samples obtained from patients diagnosed with Ebola virus.
Address regulatory aspects of the EPoCA project, with a goal of maximizing the viability of the proposed solution.
Profile the exploitation strategy for EPoCA project, to identify meaningful outcomes and ensure that they are properly exploited and communicated to relevant stakeholders, maximising the impact of the project ensuring legal and personal data protection compliance by default and by design.
Communicate the research outcomes, promote the portfolio of therapeutics and diagnostic tools developed within the project, address social dynamics, improve risk communication, engage stakeholders, support policy development and the adoption of best practices, and enhance capacity building and training opportunities in sub-Saharan Africa.