Today, healthcare resembles the computing systems of 1960s. Even for the smallest problems, our current healthcare model harks back to the mainframe years: make an appointment, (physically) visit a professional and rely on expensive, immobile and monolithic test equipment for detailed readings of our health. Tremendous strides in technology have occurred in communications, digital signal processing, sensor and sensor nets, data analytics, and visualization, to name but a few. Yet healthcare lags far behind other industries in the adoption and integration of their use.

Unfortunately chronic diseases constitute the preponderance of healthcare expenses and thus their management has an enormous impact on the healthcare system, national and global economies. Yet, our tools to address the challenges remain antiquated, resulting in either unsustainably expensive or ineffective care.

Preventive Medicine and Personalized Medicine hold great promise in our future and both can be empowered and accelerated by the use and adoption of technology. Our vision is to develop novel building blocks, which empowers users and medical professionals to predict health problems, proactively employ preventive measures and in the process avoid the bulk of episodes from becoming serious and costly.