Multiple Sclerosis (MS) is a chronic immune-mediated inflammatory disease with a broad diversity of symptoms and fluctuating progression patterns. Clinical assessments are challenging and are continually reviewed and enhanced. Optimal multiple sclerosis care depends on early detection of disease progression. The Digital self-Assessment for Multiple sclerosis (DAM) mobile program was developed by Ad Scientiam in order to create a robust and clinically validated remote monitoring platform for MS patients and clinicians. The correlation between DAM version 0 (the first iteration of DAMS) and Multiple Sclerosis Functional Composite (MSFC) has been clinically evaluated in a preliminary study in 30 subjects. DAM version 0 and MFSC global scores were correlated. However, the cognition test had a poor reproducibility and clinicians expressed the wish to measure a walking range rather than a walking speed. Even though vision is the main sense impacting all other tests, particularly when interacting with a mobile, visual tests are rarely performed in real life. A new version of DAM version 0, DAMS, was therefore developed with the addition of the Sloan Low Contrast Letter Acuity Test (SLCLAT), the replacement of the walking speed test with a walking distance test and the Paced Auditory Serial Addition Test (PASAT) by a new version of the cognitive test which resembles the Symbol Digit Modalities Test (SDMT).