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.
Impact Evaluation Made Easy and Affordable (UC Berkeley)
Impact evaluation is increasingly being used to determine the effectiveness and success of development interventions. This project develops an impact evaluation software kit that allows