SURVeillance and multI-pathogen point-of-care diagnostics with AI-driVEn Vector-Borne Disease prediction

Grant number: 101313767

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Key facts

  • Disease

    Zika virus disease, West Nile Virus Infection…
  • Start & end year

    2026
    2029
  • Known Financial Commitments (USD)

    $3,824,111.38
  • Funder

    European Commission
  • Principal Investigator

    Marco FILICE
  • Research Location

    Spain
  • Lead Research Institution

    UNIVERSIDAD COMPLUTENSE DE MADRID
  • Research Priority Alignment

    N/A
  • Research Category

    Pathogen: natural history, transmission and diagnostics
  • Research Subcategory

    Diagnostics
  • Special Interest Tags

    N/A
  • Study Type

    Non-Clinical
  • Clinical Trial Details

    N/A
  • Broad Policy Alignment

    Pending
  • Age Group

    Not Applicable
  • Vulnerable Population

    Not applicable
  • Occupations of Interest

    Not applicable

Abstract

Vector-borne diseases (VBD) such as dengue, Zika, chikungunya, and West Nile virus are an emerging threat to European public health, driven by climate change, travel, and urbanization. Current diagnostic pathways in Europe rely largely on centralized RT-PCR and serology, which are slow, resource-intensive, and poorly suited to point-of-care use, leading to delayed case confirmation and limited ability to forecast outbreaks. SURVIVE-VBD will deliver a next-generation, multiplex point-of-care diagnostic and surveillance platform that combines graphene field-effect transistor (gFET) biosensors with AI-driven, cloud-connected epidemiological intelligence and a real-time monitoring dashboard. The project will design, manufacture, and clinically validate an IoT diagnostic multiplexing device capable of the rapid (<60 minutes) differential detection of above mentioned VBD from a small peripheral blood sample, using a dual-layer strategy that combines direct antigen detection with parallel IgM/IgG profiling. Diagnostic results generated will be securely transmitted via an IoT-enabled edge-cloud-application architecture to a central Data Lake, where interoperable data-driven models will integrate diagnostic, environmental, entomological, climatic, and mobility data to provide real-time outbreak forecasting, early-warning alerts and a transnational observatory dashboard for health authorities. SURVIVE-VBD will implement a multicentre clinical performance evaluation in Europe and partner regions and will develop an EU Regulatory Strategy Report and Performance Evaluation Plan aligned with IVDR to support CE-marking and market readiness. Dedicated work on accessibility, affordability, and sustainability will ensure that the platform can be deployed in low-resource EU settings, thereby strengthening preparedness, accelerating early detection, reducing misdiagnoses, and supporting coordinated, evidence-based responses to vector-borne disease threats within and beyond the Union.