Google working on AI that can detect TB through the sound of cough and breathing

Google has unveiled a groundbreaking AI system that can potentially detect early signs of disease by analysing audio signals, according to a recent Bloomberg report. This technology, part of Google’s Health Acoustic Representations (HeAR) project, could revolutionise healthcare accessibility in underserved regions.
The AI model, trained on 300 million audio samples including coughs, sniffles, and breathing patterns, aims to identify diseases like tuberculosis (TB) through subtle acoustic cues.