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.
- Johnson, L., Fry, A., Dehbandi, B., Rubin, L., 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(93), 6–10. https://doi.org/10.1016/j.jbiomech.2019.06.001
- Litchman, C., & Rubin, L. (n.d.). Evaluation of the BeCare MS App in Detecting Neurologic Changes Across Treatment Efficacy Levels in MS Patients. Submitted for Publication.
- Litchman, C., Rubin, L., Stowe, C., Rubin, C., Chattfield, S., & Stoll, S. (2025). AI-enhanced Mobile APP to Aid in Early Detection of Cognitive Impairment. ACTA Scientific Neurology, 8(12), 34–43. https://doi.org/10.31080/ASNE.2025.08.0881
- Litchman, C., Rubin, N., Rubin, L., Litchman, T., Wesely, S., Keaney, J., Vartanian, T., & Stoll, S. (2023). AI Classification of MS Disability with the Utilization of a Mobile App. Acta Scientific Neurology, 6(12), 28–32. https://doi.org/10.31080/asne.2023.06.0688
- Litchman, C., Stoll, S., Rubin, N., Rubin, L., & Vartanian, T. (2020). Automated EDSS scoring using a mobile App and Machine learning. (2631). Neurology, 94(15_supplement). https://doi.org/10.1212/wnl.94.15_supplement.2631
- 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), 03-10. https://doi.org/10.31080/asne.2024.07.0738
- Rubin, L., Vartanian, T., Kaunzer, U., Nealon, N., Perumal, J., Gauthier, S., Marcille, M., Engel, C., S. Shetty, Putrino, D., Kruse-Hoyer, M., Stoll, S., & Litchman, C. (2019). Patient-centered outcomes analysis for multiple sclerosis using a mobile application – posters. *Multiple Sclerosis Journal*, 25(1_suppl), 20–156. https://doi.org/10.1177/1352458519843086
- 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. International Journal of MS Care, 26(2). https://doi.org/10.7224/1537-2073.2023-009
- Stoll, S., Litchman, T., Wesley, S., & Litchman, C. (2019). Multiple Sclerosis Apps: The dawn of a new era: A comprehensive review (P3.2-021). Neurology, 92(15_supplement). https://doi.org/10.1212/wnl.92.15_supplement.p3.2-021
- Stoll, S., Rubin, N., Litchman, T., keaney, john, rubin, lawrence, Vartanian, T., & Litchman, C. (2021). Machine Learning Evaluation of Multiple Sclerosis Patients During the Time of COVID-19 (4749). Neurology, 96(15_supplement). https://doi.org/10.1212/wnl.96.15_supplement.4749