The early and efficient detection of COVID-19 cases remains an unresolved issue. The detection of cases affected by COVID-19 is based on symptoms or contact tracing. But 60% of COVID-19 cases are asymptomatic or have few and unspecific symptoms. It is therefore difficult to diagnose them as they do not consult the health system; however, they are able to transmit the virus.
Description of the technology
The Covid Gel Test is an artificial intelligence predictive model for COVID-19 using symptoms and a simple olfactory test based on an aromatized hydroalcoholic gel showing a high sensitivity for diagnosing COVID-19. This predictive model could be especially useful for mass screening when testing resources are limited and specially in low-income countries, then the amount of people impacted could be huge.
Specifications
Current development status
Commercially available technologies
Applications
Mass screening of asymptomatic cases of COVID-19
Desired business relationship
Patent licensing
The Technology Transfer and Innovation Center (CTTi) meets from the University environment the technological needs and services generated by the productive sectors and administration, through the management of Transfer of Technology and Knowledge, the Intellectual and Intellectual Property management, Technology Watch, Entrepreneurship, and Technology Infrastructures Offer (business incubator).
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