The goal of this observational study is to validate a novel, cost-effective method for real-world assessment using patient-acquired "selfie" videos in people with multiple sclerosis. The investigators aim to prove the feasibility and validity of monitoring walking changes remotely through a truly patient-centered, low-burden, low-cost approach. The main question this study aims to answer is: do remotely collected walking and speech videos from a mobile phone match the information investigators can gather from an in person visit?

Participants will collect 5 "selfie" videos at baseline, 3 months, 6 months and 12 months (about 15 minutes every 3 months). They will also come in person at baseline, 6 months, and 12 months for in person data collection (about 1 hour per in person visit).

The investigators aim to validate a novel, cost-effective method for real-world assessment using patient-acquired "selfie" videos. The investigator's preliminary data demonstrate feasibility, validity and utility of this technology, which overcomes limitations of existing digital biomarkers and offers a truly patient-centered, low-burden approach to monitoring and treating diverse people with MS (PwMS). The investigators want to understand the barriers and facilitators to adoption of this approach, as well as the real-world validity and impact of the data generated. This will allow investigators to share the most accessible, generalizable and useful protocols and metrics with the MS community.

This approach to digital tool development prioritizes patients and clinicians. Indeed, the investigators leverage a tool used every day by the general population ("selfie" videos) that recapitulates clinicians' primary examination tool: observing how patients talk and walk.

This approach uses the patient's own device (device agnostic: including smartphones sold after 2010, as well as tablets, laptops or desktops with camera capture), without requiring proprietary software or technology, to collect "selfie" videos - which are ubiquitous in modern life - and provides a link to a secure web portal for simple uploading. The task minimizes burden: it is brief (5 <1min videos), can be done in individuals' own homes, requires no direct or indirect costs, and therefore is accessible to many diverse patients.

Digital biomarkers must demonstrate VALIDITY: sensitivity to subtle change over time, but also relevance to an individual's daily life and function (i.e. veridicality and verisimilitude). Patient selfie videos capture activities relevant in daily life (buttoning a shirt, walking down a hallway, talking about one's morning), across all levels of disability, using assessments that are holistic and that have veridicality and verisimilitude. Furthermore, the metrics show greater sensitivity to change than standard assessments.

Overall objective: Validate video "selfies" as a patient-centered, valid, comprehensive longitudinal data collection method in MS. This approach will be deemed successful if the investigators achieve key metrics informed by implementation science and digital monitoring biomarker validation as necessary for dissemination, which surpass the feasibility, usability or validity of most digital tools currently available for monitoring in MS.

Inclusion Criteria:

• Any patient with MS who is above the age of 18 yrs. Participants who are unable to consent for themselves must have a surrogate decision maker or LAR.
• Age > 18 yrs, EDSS - <6.5, own a video recording device (smartphone, tablet, camera etc).

Exclusion Criteria:

• Patient unwilling to participate in the study. Participants unable to consent for themselves who do not have a surrogate decision maker or LAR.

A diverse population of adults with MS