Salcit Technologies to Use AI For Detection of Tuberculosis

Sumedha Sen

Salcit Technologies is exploring the use of Google's Health Acoustic Representations (HeAR) model to enhance early detection of tuberculosis.

Google said that its HeAR bioacoustic foundation model is trained on approximately 300 million pieces of audio data, and in particular roughly 100 million cough sounds.

Salcit Technologies will use the HeAR model to build on research for its product Swaasa.

HeAR was introduced in March 2024 and is designed to help researchers build models that can listen to human sounds and flag early signs of disease.

Google hopes help to advance the development of future diagnostic tools and monitoring solutions that assist improved health outcomes for communities around the globe.

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