Salcit Technologies is Changing Lung Health with AI
Salcit Technologies iis leveraging Google's HeAR model to detect tuberculosis (TB) at an early stage.
Sound help clinicians to identify TB ealry.
To transform respiratory health, the India-based startup Salcit Technologies is utilising Swaasa, an AI-powered cough analysis tool, to screen and monitor patients remotely for better lung health.
The company is leveraging Google's Health Acoustic Representations (HeAR) model to detect tuberculosis (TB) at an early stage through cough sounds.
This bioacoustic foundation model monitors human sounds and identifies potential lung diseases.
“Every missed case of tuberculosis is a tragedy; every late diagnosis, a heartbreak,” says Sujay Kakarmath, a product manager at Google Research working on HeAR.
“Acoustic biomarkers offer the potential to rewrite this narrative. I am deeply grateful for the role HeAR can play in this transformative journey,” he added.
According to Google, the tech giant has trained the cough model using around 100 million cough sounds. Moreover, the model achieved high performance with minimal training.
The project is also receiving support from the United Nations-hosted organisation - The StopTB Partnership.
