We are looking for senior software engineers! Please visit this page and apply if you are interested!
Scalable Health Labs are focused on mobile bio-behavioral sensing, to develop novel “sensors” that can simultaneously measure both bio- and behavioral-markers for a given healthcare context. The challenge lies in measuring both bio- and behavioral-markers in-situ, away from a clinic or healthcare facility. The new sensors will be the foundation of next-generation healthcare architecture, where both the patient and healthcare providers are empowered by relevant and timely information. Some applications include
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. Our innovations are targeted for patients with chronic conditions like Asthma, COPD and Diabetes.
Preventive and Personalized Healthcare 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.
Research supported by NSF, NIH and IBM Research
Our research is sponsored by different agencies – NSF, NIH and IBM Research. Currently, the primary focus of our lab includes:
NSF ERC PATHS-UP
PATHS-UP aims to develop two engineered systems to monitor key biomarkers (e.g., biochemical, biophysical, and behavioral) of chronic disease – a Lab-in-your-Palm (LiyP) and a Lab-on-a-Wrist (LoaW). Please see our project page for more details.
NSF Expeditions in Computing
Our goal in this NSF Expeditions project is to develop, test, and validate new imaging systems – Computational Photo-Scatterography (CPS), to non-invasively image below the skin at tunable depths. For more information, please visit our project page.