Studies and
publications
Published Peer-reviewed research has validated the significance of BeCareLink’s data and the correlation with what is clinical standard-of-care.
- Litchman, C., Rubin, N., Rubin, L., Litchman, T., Wesely, S., Keaney, J., Vartanian, T., & Stoll, S. (2023). Machine Learning Evaluation of MS Patients during the Time of COVID. ACTA Scientific Neurology, 6(12).
- Litchman, C., Stowe, C., Rubin, L., DiTrapani, J., & Stoll, S. (2024). Potential Therapeutic Benefits of Using the BeCare MS Link App Frequently. ACTA Scientific Neurology, 7(6).
- Litchman, C., Vartanian, T., Rubin, L., Rubin, N., & Stoll, S. (2020). Automated EDSS scoring using a mobile App & Machine Learning. Neurology, 94 (15 Supplement) 2631.
- Rubin, L., Kruse-Hoyer, M., Litchman, C., Stoll, S,. Putrino, D,. Shetty, S., Engel, C., Marcille, M., Gauthier, S., Perumal, J., Nealon, M., Kaunzer, U., & Vartanian T. (2019). Patient Centered Outcomes Analysis for Multiple Sclerosis Using a Mobile Application. Fourth Annual American Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS).
- Stoll, S., Litchman, C., Rubin, N., Rubin, L., & Vartanian, T. (2023). Validated, Quantitative, Machine Learning-Generated Neurologic Assessment of Multiple Sclerosis Using a Mobile Application. Int J MS Care.
- Johnson, L., Fry, A., Dehbandi, B., Rubin, L. G., Halem, M., Barachant, A., Smeragliuolo, A. H., & Putrino, D. (2019). An Automated, Electronic Assessment Tool can Accurately Classify Older Adult Postural Stability. Journal of Biomechanics, 93, 6–10.
- Stoll, S., Litchman, T., Wesley, S., & Litchman, C. (2019) Multiple Sclerosis Apps: The dawn of a new era: A comprehensive review. Neurology, 92 (15 Supplement) P3.2-021.
- Stoll, S., Rubin, N., Rubin, L., Litchman, T., Keaney, J., Vartanian, T., & C Litchman (2021). Machine Learning Evaluation of MS Patients During the Time of COVID. Neurology, 96 (15 Supplement) 4749.