Through observation and data collection by medical teams at Mahidol University, it has been noted that when the body experiences abnormalities or illness, specific odors are emitted through bodily secretions. This phenomenon has also been observed in some cancer patients.
The Electronic Nose (E-NOSE) is a device that incorporates artificial intelligence (AI) technology to analyze changes in a person’s odor profile and potentially indicate what those changes may mean.
The E-NOSE works by comparing odor data to a digital smell database (Digitalization of Smell), using sensors to detect and differentiate complex chemicals found in bodily secretions or the user’s breath. The results are then processed using AI algorithms, generating digital data that may be useful for doctors during diagnostic process.
This digital data provided by the Electronic Nose could potentially assist in detecting cancer in its early stages. However, it’s important to note that while promising, this technology is still in development and not yet validated as a standalone diagnostic tool. Early cancer detection is crucial for patients because it generally offers a better chance of successful treatment.