A team of researchers at Carnegie Mellon University developed an application capable of diagnosing Covid-19 from voice analysis, and Benjamin Strainer, a graduate student at Carnegie Mellon University, said in an exclusive interview with the Dubai Future Foundation's "Observatory of the Future" It protects the development of the cheapest and fastest diagnostic tests, and there are many good and cheap tests, but there is no cheaper and easier way to talk to your phone.
The researchers confirm that the reagent is not yet a diagnostic tool, and has not received approval from the US Food and Drug Administration, or the US Centers for Disease Control and Prevention.
"We are trying to develop a sound-based solution through past experience and expertise," said Bhiksha Raj, a professor at Carnegie Mellon University working on the application. "The results of the application are still preliminary and unconfirmed." The result shown by the application is an indication of the similarity of sound to recorded Covid patients. This is not a medical device. The main goal of our application is to collect the largest amount of audio recordings to improve the algorithm. ”
The person must cough a few times, record some sounds and read the letters, then submit a result in the form of a tape showing the probability that he will be infected with Covid-19 depending on the algorithm.
The person coughs several times and records some sounds to show the result.