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

​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. Google has partnered with Salcit Technologies, an Indian respiratory healthcare AI startup, to integrate this technology into smartphones, making it accessible to high-risk populations in areas with limited healthcare resources.

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