Updated on May 23, 2024

·

Created on October 4, 2018

Internet of Life

Global pathogen surveillance system

Developed By Unknown
Content Partners
Unknown

Author

Product Description

Internet of Life is a global pathogen surveillance system for sharing genomic data.

The data is collected using a Q-POC molecular diagnostic device.

The data is used to monitor the spread of antimicrobial resistance, detect and contain a novel disease outbreak, and identify suitable targets for drug development.

Target SDGs

SDG 3: Good Health and Well-Being

Target Users (Target Impact Group)

Distributors / Implementing Organizations

Partner organisations:

  • FIND
  • Bill and Melinda Gates Foundation
  • Globalgood
  • Yale
  • St George's - University of London
  • Stop TB Partnership

Intellectural Property Type

Copyright

User Provision Model

Through WHO, Ministries of Health and other health organisations

Distributions to Date Status

Q-POC expected commercialisation in 2019

Design Specifications

Internet of Life initiative:

  • Facilitate the rapid detection & containment of pathogens
  • Real-time reporting to national or international bodies
  • Improved, regular monitoring of drug resistance
  • Data for researchers to evaluate intervention efficacy
  • Data for public health bodies to allocate resources
  • With Q-SEQ, rapid identification & containment of novel pathogens
Q-POC:
  • Analysis of samples of blood, tissue, sputum, swabs amd urine.
  • Simple to use.
  • Provides sample-to-result testing in 10 – 20 minutes, depending on the complexity of the test.

Product Schematics

Technical Support

Unknown

Replacement Components

Unknown

Lifecycle

Unknown

Manufacturer Specified Performance Parameters

Q-POC analysis time:

  • 2 min sample preparation
  • 3 min DNA extraction
  • 7 min DNA amplification
  • 5 min DNA detection

Vetted Performance Status

Unknown

Safety

ISO 13485: 2016 certification

Complementary Technical Systems

Unknown

Academic Research and References

  1. Michelle Li & Eleftherios P. Diamandis (2016) Technology-driven diagnostics: From smart doctor to smartphone, Critical Reviews in Clinical Laboratory Sciences, 53:4, 268-276, DOI: 10.3109/10408363.2016.1149689
  2. Burn, John. Recognition of clinical genetics in Europe. European Journal Of Human Genetics. 2018/01/03/online. 25, S50. European Society of Human Genetics. http://dx.doi.org/10.1038/ejhg.2017.156

Compliance with regulations

ISO 13485: 2016 certification

Other Information

3. Jamie Burn (2013): Company Profile: QuantuMDx Group Limited. Pharmacogenomics, 1011-1015, 14, 9. 10.2217/pgs.13.72

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