Every patient is unique and ever-changing, both in body and mind -- so why are healthcare devices all the same? At Enabyl, we believe that devices should be just as unique and adaptive as the patients who use them. By combining our medical and technical expertise, we develop software that allows mobile devices to adapt to each patient’s unique physiology and needs.
We exist to enable the personal healthcare devices of the future. At Enabyl, we have developed a cloud-based artificial intelligence (A.I.) framework called Foresight that allows IoT-connected devices and apps to update their functionality in real-time in response to patient data. By integrating A.I. and advanced analytics, devices that track our health can not only learn to predict a patient’s needs and health risks, but also calibrate themselves to each user to collect more accurate data.
Using this framework, we have developed a first-of-its-kind application for predicting falls in Parkinson’s patients called Balance. Due to each patient’s unique movement patterns, symptoms, and noisy environments, predicting falls an extremely difficult task by conventional means. With an adaptive framework, however, Balance learns patients’ unique movement patterns over time, improving its ability to predict falls as the patient walks with their device.
Our team is also available to provide consulting services for companies who would like to integrate artificial intelligence and machine learning into their products. To learn more about our products and services, please don't hesitate to contact us!
PRODUCTS & SERVICES
MD/PhD Student at Emory University School of Medicine and Georgia Institute of Technology. PhD Student in Electrical Engineering with a research focus in machine learning and biomedical signal processing.
PhD Student at Carnegie Mellon University studying Electrical Engineering. Research focus in statistical signal processing, machine learning, and optimization.
J.D. Candidate at UC Berkeley School of Law. Former investment banker in technology sector and experienced with M&A transactions.