Using Signature Genes to Detect Early-Stage Coronavirus and Predict Individual Outcomes

Summary of the technology

Using Signature Genes to Detect Early-Stage Coronavirus and Predict Individual Outcomes
Project ID : 47-2020-10876

Test signature genes of host for non-invasive and early detection of Coronavirus infection, even before the infected person is symptomatic (also allowing differentiation from influenza virus infections).

Moreover, this unique signature can be used to predict disease outcome in infected individuals as well as predict the vulnerability to the virus in non- infected individuals. The last can be valuable for screening of vulnerable populations such as medical teams and caregivers.

Covid-19 Innovation Challenges by Innoget

Description of the technology

  • Test signature genes of host for non-invasive and early detection of Coronavirus infection, even before the infected person is symptomatic (also allowing differentiation from influenza virus infections).
  • Moreover, this unique signature can be used to predict disease outcome in infected individuals as well as predict the vulnerability to the virus in non- infected individuals. The last can be valuable for screening of vulnerable populations such as medical teams and caregivers.

Project manager

Mel Larrosa
VP Business Development Healthcare

Project researchers

Yoav Smith
HUJI, School of Medicine - IMRIC

Related Keywords

  • Electronics, IT and Telecomms
  • Computer Software Technology
  • Electronic Signature
  • Cyber Security
  • Electronics Related Market
  • Covid-19
  • coronavirus

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