DIGITAL PERSONAL CONNECTED HEALTH
Las Vegas, NV - March 5, 2018
Multiple sclerosis (MS) is an immune-mediated neurodegenerative illness that affects more than 2.3 million people worldwide.
Over time, discrete lesions develop that disrupt neural communication and provoke a wide array of symptoms. How lesions develop, what determines their severity or location, what symptoms arise, and how severe or enduring these symptoms become depends on an interplay between genetic susceptibilities, environmental factors, biorhythms, and even emotional states.
Such diversity in disease behavior makes each person’s illness unique and difficult to treat. That’s where machine learning can help.
In this session, attendees will learn how Duke University's MS Mosaic Study combines mobile devices and user-generated data, machine learning, and participatory medicine to understand multiple sclerosis, augment patient-provider communication, and influence clinical decision support.
The presentation will conclude with a discussion of the study's overcome and existing pain points and future directions, including challenges/solutions to data security, EHR integration, and participant engagement.