“In the last six months, we’ve gathered more than 10 billion sensor measurements from more than 100,000 contributors. Of course, raw sensor data is not a biomarker, a biomarker is not a diagnosis, and a diagnosis is not a therapeutic,” co-founder of Cardiogram Brandon Ballinger wrote in a blog post.
“This volume of data has let us achieve a c-statistic (an accuracy measure) of above 90% in detecting atrial fibrillation, the most common abnormal heart rhythm,” Ballinger said. “We think it’s important for even young digital health companies to submit their work to peer review, so you’ll see us submit to both medical journals and artificial intelligence conferences in coming years as well.”
For the full article please visit : https://techcrunch.com/2016/10/20/cardiogram-raises-2-million-to-predict-heart-health-issues-using-wearbles/
[image source : https://cardiogr.am/]