THE URGENT NEED
There is a need for innovation in the early detection of patients at risk for lung cancer.
More than 234,000 people in the US will be diagnosed with lung cancer this year, with a new diagnosis every 2.2 minutes.
Approximately 25% of all cancer deaths are from lung cancer, with an estimated 154,050 Americans dying in 2018.
The adherence rate to lung cancer screening is lower than other leading cancers, such as colorectal (54.6%), breast (69.3%) and prostate (85.8%).
OUR INNOVATIVE SOLUTION
Leveraging machine learning and AI to classify coughs and changes in voice with disease
CanAIry is a smart home device which detects the presence and progression of lung cancer and other respiratory diseases using our proprietary machine learning model.
Our team came together during the MIT NYC Grand Hackathon this past November. While we all met for the first time, our group instantly gelled. Over the course of 48 hours, we were able to rapidly develop and prototype an idea to detect people affected with early stage lung cancer. We won first place for best overall hack in lung cancer. Since then we have been working together daily to refine our existing prototype and extensively research opportunities to develop our product: CanAIry.