Dropsense (UC Berkeley)

Share on facebook
Facebook
Share on google
Google+
Share on twitter
Twitter
Share on linkedin
LinkedIn

DropSense

Dropsense is developing a convenient, affordable hypoglycemia alert system to help diabetics better monitor their glucose levels. The technology comprises a sensor patch, mobile application, and machine learning analytics platform. The non-invasive Dropsense sensor sends data wirelessly to a smartphone, where a mobile app continuously processes the data with the machine learning algorithm to accurately identify hypoglycemic events. The app alerts users with an alarm or emergency phone call upon detecting low glucose levels so it can be treated before it becomes dangerous.

More Winners

AsphyxiAlert

AsphyxiAlert addresses the need for a tracheostomy alarm system that alerts caregivers in the event of accidental tube dislodgement and tube occlusion. AsphyxiAlert’s dual purpose

Read More »

© 2019 Blum Center for Developing Economies

Design by Joseph Kim