Diabetes mellitus affects over 285 million people worldwide, and the number of people living with it grows at an annual rate of 2.3%. Pathologicode introduces innovative application and computer vision technologies to detect microangiopathy associated with prediabetes in individuals. This non-invasive, in- vivo procedure will provide healthcare professionals with detailed information on overall systemic health in order to screen for early indications of developing diabetes. By providing tools to screen for early indications of the disease, Pathologicode’s Peek software will enable healthcare professionals to provide early intervention through disease management protocols, ultimately leading to an overall improvement of patient health.
Developing a Portable Method to Predict Dengue Virus Infection (UC Berkeley)
Dengue virus causes the most common mosquito-borne viral disease affecting humans, with 3 billion people at risk for infection and an estimated 50 million cases