In a bid to fight the rising burden of tuberculosis (TB) in India, Indian startup Salcit Technologies is exploring to use of Google's Health Acoustic Representations (HeAR) model to enhance early detection of TB based on cough sounds, the tech giant said on Tuesday.
In a blog post, 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. It can help extend screening for
TB more widely across India, the company said.
The Hyderabad-based Salcit Technologies will use the HeAR model to
build on research for its product Swaasa, it noted.
Launched in 2020, Swaasa uses an AI-driven algorithm that can
assess if human lungs are abnormal.
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.
"Compared to blood tests and imaging, sound is by far the
most accessible piece of information that we can get about a person. HeAR can
pick up chest x-ray findings, tuberculosis, and even detect Covid from cough
sounds," said Sujay Kakarmath, a product manager at Google Research.
"In places where access to advanced medical resources is
scarce, we can imagine a future where a healthcare professional with a machine
learning model and a phone can collect a sample of your sound and inform
clinical care. With HeAR, we hope that researchers will be able to discover new
acoustic biomarkers a lot faster," he added.
The Stop TB Partnership, an UN-hosted organisation dedicated to
ending TB by 2030, also supports this approach.
"Solutions like HeAR will enable AI-powered acoustic analysis
to break new ground in tuberculosis screening and detection, offering a
potentially low-impact, accessible tool to those who need it most," said
Zhi Zhen Qin, digital health specialist with the Stop TB Partnership.
The blog post said that Google is inviting researchers interested
in exploring HeAR's potential to request access to the HeAR API.
Through its research, Google hopes to keep helping advance the
development of future diagnostic tools and monitoring solutions that assist
improved health outcomes for communities around the globe.
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