Salcit Technologies explores TB detection with Google’s AI bioacoustic model

Search giant Google said on Tuesday that respiratory healthcare startup Salcit Technologies is exploring using its Health Acoustic Representations (HeAR) bioacoustic foundation model to enhance early detection of tuberculosis based on cough sounds.

Trained on about 300 million pieces of audio data, and in particular roughly 100 million cough sounds, HeAR is expected to help the Indian startup extend screening for TB more widely across the country.