Multi-dimensional Diagnostics for Rapid Detection of Infectious Diseases in Developing Countries

Grant number: 215688/Z/19/Z

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Key facts

  • Disease

    N/A

  • Start & end year

    2021
    2025
  • Known Financial Commitments (USD)

    $1,054,754.84
  • Funder

    Wellcome Trust
  • Principal Investigator

    Prof. Pantelis Georgiou
  • Research Location

    United Kingdom
  • Lead Research Institution

    Imperial College London
  • 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

This proposal will build capacity and assemble a multidisciplinary international team to produce fundamental cutting-edge technology and biological methods to deliver user driven, connected, quantitative, rapid, sample-to-answer tests able to diagnose and serotype dengue at the point-of care for timely, targeted clinical management. Our vision is to deliver the first sample-to-result connected handheld device that provides quantitative diagnosis and serotyping of dengue in under 30 minutes. Underpinning the technology will be innovations in sensing arrays, our newly proposed multidimensional signatures which allow us to significantly reduce the time of diagnosis, and ultrasensitive isothermal amplification chemistries that will reliably discriminate pathogens. Furthermore, the platform will also transmit diagnostic results to the cloud for instantaneous case reporting and epidemiological monitoring which is particularly important within remote regions. Our long-term goal is to improve infection management by streamlining the detection and control processes. Currently diagnosis is limited to geographically dispersed centralised laboratories, with long turnaround times that seriously impact clinical outcomes. This Wellcome Trust innovator award will allow us to translate the technology from the bench to clinics in Thailand, acquiring data and knowledge for CE marking and commercial translation.

Publicationslinked via Europe PMC

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View all publications at Europe PMC

Portable molecular diagnostic platform for rapid point-of-care detection of mpox and other diseases.

Diagnostics for optimised dengue surveillance: a qualitative focus group study to investigate user experience and requirements in Thailand.

Dragonfly: A Portable Molecular Diagnostic Platform for Rapid Point-of-Care Detection of Mpox and Other Diseases

Towards a machine-learning assisted non-invasive classification of dengue severity using wearable PPG data: a prospective clinical study.

Rapid, Portable, and Electricity-free Sample Extraction Method for Enhanced Molecular Diagnostics in Resource-Limited Settings.

A computational framework to improve cross-platform implementation of transcriptomics signatures.

Analytical and diagnostic performance characteristics of reverse-transcriptase loop-mediated isothermal amplification assays for dengue virus serotypes 1-4: A scoping review to inform potential use in portable molecular diagnostic devices.

A dual paper-based nucleic acid extraction method from blood in under ten minutes for point-of-care diagnostics.

A Multi-Site, Multi-Wavelength PPG Platform for Continuous Non-Invasive Health Monitoring in Hospital Settings.