SNIFFPHONE uses micro and nano sensors that read exhaled breath. The information is transferred through the phone to a signal processing system for analysis. According to Haick, the NaNose system can detect benign and malignant tumors more quickly, efficiently and cheaply than previously possible, replacing clinical follow up that would lead to the same intervention. He claims that NaNose has a 90 percent accuracy rate.
This is one of several biomedical sensor breakthroughs that Professor Haick is working on. In July 2013, ApplySci described his flexible sensor that could be integrated into electronic skin, enabling those with prosthetic limbs to feel changes in their environments. This is similar to Roozbeh Ghaffari’s work at MC10, which we described last month and will be included in our June 30th conference, Wearable Tech + Digital Health NYC 2015.