Machine intelligence to enable the next generation of mobile health tools


There is a large prevalence of undiagnosed and untreated chronic and acute diseases in rural India. To address the need for low-cost diagnostics in communities that lack trained medical personnel, we are creating the next generation of mobile health devices that will use machine intelligence and advanced algorithms that go beyond simple data collection to provide valuable diagnostic and clinical decision support for the field doctor or health worker.

This work includes advanced signal processing, blind source separation algorithms, machine learning, and probabilistic inference models that are efficient and can run in real-time on a mobile phone or tablet. Our group is applying these methods to several clinical projects across India, primarily focusing on pulmonary disease diagnosis with our clinical partner, the Chest Research Foundation in the city of Pune.


Project Media:

 AWARD: Vodafone Wireless Innovation Prize

 BETA BOSTON: MIT researchers develop the world’s first USB-powered mobile stethoscope

Mobile Diagnostic Kit for Pulmonary Diseases


Download Poster:

POSTER: Non-Invasive Mobile Pulse monitoring for cardiovascular assessment