Screening diabetes using sensors
A podcast on the use of metal oxide-based chemiresistive gas sensors to screen diabetes.
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HIGHLIGHTS
- TCS Research in collaboration with IIT-Kharagpur has developed metal oxide-based chemiresistive gas sensors that identify volatile organic compounds (VOCs) to screen non-communicable diseases such as diabetes.
- The VOCs present in human breath are treated as biomarkers associated with specific diseases, useful in clinical diagnosis.
- Experts in this podcast also discuss how unconventional mechanisms, such as radar technology and hyperspectral imaging, can be used to determine health parameters.
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Can sensors be used to detect diabetes?
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Screening diabetes using sensors
Sanjay Kimbahune, senior scientist at TCS Research and Dr Prasanta Kumar Guha, associate professor at IIT-Kharagpur, discuss how digital health sensors can screen diabetes and pave the way toward accessible healthcare.
About 537 million people between the ages 20-79 years are living with diabetes across the globe, as of 2021. Of these, almost half are undiagnosed. The number of people living with diabetes is predicted to rise to 643 million by 2030.
In this podcast, on November 14, World Diabetes Day, Sanjay Kimbahune, Senior Scientist at TCS Research and Dr. Prasanta Kumar Guha, Associate Professor at IIT-Kharagpur, discuss how digital health sensors can be used to screen non-communicable diseases, such as diabetes, unobtrusively and how they can pave the way toward accessible healthcare.
The experts breakdown their collaborative research on metal oxide-based chemiresistive gas sensors that are used to analyze and differentiate between volatile organic compounds (VOCs). Read more in their joint publication here. These VOCs are present in human breath and can be treated as biomarkers associated with specific diseases, making them useful in clinical diagnosis. Listen in.
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