Trending Now
We have updated our Privacy Policy and Terms of Use for Eurasia Group and its affiliates, including GZERO Media, to clarify the types of data we collect, how we collect it, how we use data and with whom we share data. By using our website you consent to our Terms and Conditions and Privacy Policy, including the transfer of your personal data to the United States from your country of residence, and our use of cookies described in our Cookie Policy.
A doctor checks the progress of a patient with tuberculosis at the Beijing Chest Hospital March 31, 2009. Health officials gathered in Beijing on Wednesday warned against deadly drug-resistant strains of tuberculosis, which are spreading fastest in developing countries that lack the infrastructure to tackle the disease.
What if an artificial intelligence stored on your phone could listen and hear how sick you are? Google is training a bioacoustic AI model called Health Acoustic Representations with 300 million snippets of audio collected from around the world — of people sneezing, coughing, and breathing. The goal? To spot tuberculosis early and treat it.
A whopping 1.3 million people died of tuberculosis in 2022 alone, according to the World Health Organization, and 10.6 million fell ill with the disease. “TB is a treatable disease, but every year millions of cases go undiagnosed — often because people don’t have convenient access to healthcare services,” Google’s Shravya Shettywrote in a blog post. “Improving diagnosis is critical to eradicating TB, and AI can play an important role in improving detection and helping make care more accessible and affordable for people around the world.”
Google is focused first on preventing tuberculosis in India and is partnering with an Indian company called Salcit Technologies, whose own AI app Swaasa is being used by healthcare providers on the subcontinent. Swaasa will integrate Google’s model to improve its own detection of the disease.