When we first brought this to Apple in 2017 to license our proactive contact tracing health identity solution, we thought we could do a world of good with our technology; Apple thought I was crazy. Yet here we are with the Covid-19 pandemic.
- Dr. Robert Adams
Identifying Asymptomatic SARS-CoV-2 (Covid-19) Individuals
As SARS-CoV-2 (Covid-19) continues to spread around the world, there is no working vaccine nor is one expected in the coming year. The primary way to curb the uncontrolled spread of SARS-CoV-2 (Covid-19) is to identify asymptomatic/sick individuals at border crossings, facility checkpoints, and at healthcare facilities and restrict any vectors for further infection of the population.
For the past 2 years, our team has been researching many diseases and their symptoms even before the emergence of SARS-CoV-2 (Covid-19). With SARS-CoV-2 (Covid-19)’s rapid emergence to that of pandemic levels, our company’s findings seem ever more relevant in the current climate.
Since February 2020 we have been looking at SARS-CoV-2 (Covid-19) and how we can use our UID Health Identity biometrics technology for the SARS-CoV-2 (Covid-19) pandemic. Our team discovered that with the right technology, we can easily identify asymptomatic individuals who are showing NO signs of infection as well as those individuals who are infected.
One might call it a Photoplethysmography technique or process, no matter what you call it; is fairly simple. We use Near-Infrared *“NIR”, or **CMUT/Ultrasound and Chemosensory to smell. Once the A.I. that has been trained with known SARS-CoV-2 (Covid-19) inflections — such as associated microvascular injury, or thrombosis of the pathogenesis and/or smell of inflection, we then calibrate the NIR or CMUT or Chemosensory frequency for the vascular scan or sniff test.
This is a non-invasive method to clearly show us the infected & asymptomatic individuals. You can also use the CMUT/Ultrasound we are creating to also identify the asymptomatic attributes of the inflection associated with the microvascular blood flow reduction caused by SARS-CoV-2 (Covid-19).
Symptoms Invisible To Temperature Checks But Visible To UID™
UID™️ is a unique method that requires no temperature checks (which have been proven to be of little use in catching asymptomatic SARS-CoV-2 (SARS-CoV-2 (Covid-19) super-spreaders. It’s been proven that such people can circumvent temperature scanning using fever-suppressing medication such as Paracetamol/Tylenol or other NSAIDs to reduce fever like symptoms.
UID™️ can also look within the vascular for the blood flow constriction and/or reduction of flow due to a lack of hemoglobin (which is the main transport of oxygen in our blood). Clean healthy blood flow, in contrast, would be full of oxygen if depicted in a 3D Ultrasound of the finger.
Using our custom NIR, asymptomatic individuals would show half black thus reduced hemoglobin blood Oxygen flow (an almost black image showing very little vascular blood hemoglobin) Oxygen and healthy blood flow or hemoglobin in figure 3.
Anyone can easily set up a NIR or CMUT and in 5 seconds, scan every person at airports in all countries. This technology quickly identifies the typical attributes of the inflection prior to passenger departure — qualifying if the passenger is not infected with SARS-CoV-2 (Covid-19). This could easily be rolled out for pennies and rapidly deployed to all offices and buildings on a global scale.
The future is an easy to use scanning method for asymptomatic individuals
Our sample testing involved 70 individuals, with an accuracy of 100% in identifying sick-symptomatic, asymptomatic, and healthy individuals. Any asymptomatic or sick individuals were then verified with a clinical test if they tested positive for SARS-CoV-2 (Covid-19).
As always, we recommend you run your own NIR or CMUT tests to see that this will work and design your AI to look for the attributes of the inflection, then deploy the method and open up the world to HELP to stop the SARS-CoV-2 (Covid-19) spread.
KEEPING EMERGING PANDEMICS IN CHECK
Our U.I.D.™ system can be deployed in almost anything that you currently interact with on a daily basis and/or used to automate health monitoring and identification — saving millions of lives when the next healthcare disaster strikes.