This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives in Rehabilitation and Assist Techn (7) Telehealth and Telemonitoring (1575) mHealth for Rehabilitation (236)

Published on in Vol 5, No 1 (2018): Jan-Jun

The Use of Digital and Remote Communication Technologies as a Tool for Multiple Sclerosis Management: Narrative Review

The Use of Digital and Remote Communication Technologies as a Tool for Multiple Sclerosis Management: Narrative Review

The Use of Digital and Remote Communication Technologies as a Tool for Multiple Sclerosis Management: Narrative Review

Authors of this article:

Martin Marziniak1 Author Orcid Image ;   Giampaolo Brichetto2 Author Orcid Image ;   Peter Feys3 Author Orcid Image ;   Uta Meyding-Lamadé4 Author Orcid Image ;   Karen Vernon5 Author Orcid Image ;   Sven G. Meuth6 Author Orcid Image
Article Authors Cited by (90) Tweetations (16) Metrics

Journals

  1. Claflin S, Gates R, Maher M, Taylor B. Building a Successful Massive Open Online Course About Multiple Sclerosis: A Process Description. Journal of Medical Internet Research 2020;22(7):e16687 View
  2. Řasová K, Freeman J, Cattaneo D, Jonsdottir J, Baert I, Smedal T, Romberg A, Feys P, Alves-Guerreiro J, Habek M, Henze T, Santoyo-Medina C, Beiske A, Van Asch P, Bakalidou D, Salcı Y, Dimitrova E, Pavlíková M, Štětkářová I, Vorlíčková J, Martinková P. Content and Delivery of Physical Therapy in Multiple Sclerosis across Europe: A Survey. International Journal of Environmental Research and Public Health 2020;17(3):886 View
  3. Newland P, Oliver B, Newland J, Thomas F. Testing Feasibility of a Mobile Application to Monitor Fatigue in People With Multiple Sclerosis. Journal of Neuroscience Nursing 2019;51(6):331 View
  4. Apolinário-Hagen J, Menzel M, Hennemann S, Salewski C. Acceptance of Mobile Health Apps for Disease Management Among People With Multiple Sclerosis: Web-Based Survey Study. JMIR Formative Research 2018;2(2):e11977 View
  5. Brichetto G, Pedullà L, Podda J, Tacchino A. Beyond center-based testing: Understanding and improving functioning with wearable technology in MS. Multiple Sclerosis Journal 2019;25(10):1402 View
  6. Wendrich K, van Oirschot P, Martens M, Heerings M, Jongen P, Krabbenborg L. Toward Digital Self-monitoring of Multiple Sclerosis. International Journal of MS Care 2019;21(6):282 View
  7. Jongen P, ter Veen G, Lemmens W, Donders R, van Noort E, Zeinstra E. The Interactive Web-Based Program MSmonitor for Self-Management and Multidisciplinary Care in Persons With Multiple Sclerosis: Quasi-Experimental Study of Short-Term Effects on Patient Empowerment. Journal of Medical Internet Research 2020;22(3):e14297 View
  8. Yoo H, Chung K, Han S. Prediction of cardiac disease-causing pattern using multimedia extraction in health ontology. Multimedia Tools and Applications 2021;80(26-27):34713 View
  9. Meca-Lallana V. COVID-19 will change MS care forever – Yes. Multiple Sclerosis Journal 2020;26(10):1147 View
  10. Brichetto G, Zaratin P. Measuring outcomes that matter most to people with multiple sclerosis: the role of patient-reported outcomes. Current Opinion in Neurology 2020;33(3):295 View
  11. Lavorgna L, Brigo F, Moccia M, Leocani L, Lanzillo R, Clerico M, Abbadessa G, Schmierer K, Solaro C, Prosperini L, Tedeschi G, Giovannoni G, Bonavita S. e-Health and multiple sclerosis: An update. Multiple Sclerosis Journal 2018;24(13):1657 View
  12. Marrie R, Leung S, Tyry T, Cutter G, Fox R, Salter A. Use of eHealth and mHealth technology by persons with multiple sclerosis. Multiple Sclerosis and Related Disorders 2019;27:13 View
  13. Thomas S, Pulman A, Thomas P, Collard S, Jiang N, Dogan H, Davies Smith A, Hourihan S, Roberts F, Kersten P, Pretty K, Miller J, Stanley K, Gay M. Digitizing a Face-to-Face Group Fatigue Management Program: Exploring the Views of People With Multiple Sclerosis and Health Care Professionals Via Consultation Groups and Interviews. JMIR Formative Research 2019;3(2):e10951 View
  14. Oreja-Guevara C, Potra S, Bauer B, Centonze D, Giambastiani M, Giovannoni G, Kesselring J, Langdon D, Morrow S, Nouvet-Gire J, Pontaga M, Rieckmann P, Schippling S, Alexandri N, Shanahan J, Thompson H, Van Galen P, Vermersch P, Yeandle D. Joint Healthcare Professional and Patient Development of Communication Tools to Improve the Standard of MS Care. Advances in Therapy 2019;36(11):3238 View
  15. Giunti G, Rivera-Romero O, Kool J, Bansi J, Sevillano J, Granja-Dominguez A, Izquierdo-Ayuso G, Giunta D. Evaluation of More Stamina, a Mobile App for Fatigue Management in Persons with Multiple Sclerosis: Protocol for a Feasibility, Acceptability, and Usability Study. JMIR Research Protocols 2020;9(8):e18196 View
  16. Desborough J, Brunoro C, Parkinson A, Chisholm K, Elisha M, Drew J, Fanning V, Lueck C, Bruestle A, Cook M, Suominen H, Tricoli A, Henschke A, Phillips C. ‘It struck at the heart of who I thought I was’: A meta‐synthesis of the qualitative literature examining the experiences of people with multiple sclerosis. Health Expectations 2020;23(5):1007 View
  17. Polhemus A, Novák J, Ferrao J, Simblett S, Radaelli M, Locatelli P, Matcham F, Kerz M, Weyer J, Burke P, Huang V, Dockendorf M, Temesi G, Wykes T, Comi G, Myin-Germeys I, Folarin A, Dobson R, Manyakov N, Narayan V, Hotopf M. Human-Centered Design Strategies for Device Selection in mHealth Programs: Development of a Novel Framework and Case Study. JMIR mHealth and uHealth 2020;8(5):e16043 View
  18. Mazboori N, Norouzi Javidan A, Bahmani P. The Effect of Remote Patient Monitoring on Patients with Spinal Cord Injury: A Mini-Review. Archives of Neuroscience 2019;In Press(In Press) View
  19. Carletto S, Cavalera C, Sadowski I, Rovaris M, Borghi M, Khoury B, Ostacoli L, Pagnini F. Mindfulness-Based Interventions for the Improvement of Well-Being in People With Multiple Sclerosis: A Systematic Review and Meta-Analysis. Psychosomatic Medicine 2020;82(6):600 View
  20. Yoo H, Han S, Chung K. A Frequency Pattern Mining Model Based on Deep Neural Network for Real-Time Classification of Heart Conditions. Healthcare 2020;8(3):234 View
  21. O’Donnell J, Jelinek G, Gray K, De Livera A, Brown C, Neate S, O’Kearney E, Taylor K, Bevens W, Weiland T. Therapeutic utilization of meditation resources by people with multiple sclerosis: insights from an online patient discussion forum. Informatics for Health and Social Care 2020;45(4):374 View
  22. Minen M, Schaubhut K, Morio K. Smartphone based behavioral therapy for pain in multiple sclerosis (MS) patients: A feasibility acceptability randomized controlled study for the treatment of comorbid migraine and ms pain. Multiple Sclerosis and Related Disorders 2020;46:102489 View
  23. Kalron A, Achiron A, Allali G. Multiple facets of the cerebellum in multiple sclerosis. Journal of Neurophysiology 2019;121(1):345 View
  24. van Beek J, van Wegen E, Rietberg M, Nyffeler T, Bohlhalter S, Kamm C, Nef T, Vanbellingen T. Feasibility of a Home-Based Tablet App for Dexterity Training in Multiple Sclerosis: Usability Study. JMIR mHealth and uHealth 2020;8(6):e18204 View
  25. Brichetto G. We should monitor our patients with wearable technology instead of neurological examination – Commentary. Multiple Sclerosis Journal 2020;26(9):1028 View
  26. Maresca G, Maggio M, De Luca R, Manuli A, Tonin P, Pignolo L, Calabrò R. Tele-Neuro-Rehabilitation in Italy: State of the Art and Future Perspectives. Frontiers in Neurology 2020;11 View
  27. Meyding-Lamadé U, Bassa B, Tibitanzl P, Davtyan A, Lamadé E, Craemer E. Telerehabilitation: von der virtuellen Welt zur Realität – Medizin im 21. Jahrhundert. Der Nervenarzt 2021;92(2):127 View
  28. Celius E, Thompson H, Pontaga M, Langdon D, Laroni A, Potra S, Bharadia T, Yeandle D, Shanahan J, van Galen P, Alexandri N, Kesselring J. Disease Progression in Multiple Sclerosis: A Literature Review Exploring Patient Perspectives. Patient Preference and Adherence 2021;Volume 15:15 View
  29. Stuart C, Varatharaj A, Domjan J, Philip S, Galea I. Physical activity monitoring to assess disability progression in multiple sclerosis. Multiple Sclerosis Journal - Experimental, Translational and Clinical 2020;6(4):205521732097518 View
  30. Miller M, Roxburgh C, McCann L, Connaghan J, Van-Wyk H, McSorley S, Maguire R. Development of a Remote Monitoring Application to Improve Care and Support Patients in the First 30 Days Following Colorectal Cancer Surgery. Seminars in Oncology Nursing 2020;36(6):151086 View
  31. Derache N, Hauchard K, Seguin F, Ohannessian R, Defer G. Retrospective evaluation of regional telemedicine team meetings for multiple sclerosis (MS) patients: Experience from the Caen MS expert center in Normandy, France. Revue Neurologique 2021;177(4):407 View
  32. Scholz M, Haase R, Schriefer D, Voigt I, Ziemssen T. Electronic Health Interventions in the Case of Multiple Sclerosis: From Theory to Practice. Brain Sciences 2021;11(2):180 View
  33. Matamala-Gomez M, Bottiroli S, Realdon O, Riva G, Galvagni L, Platz T, Sandrini G, De Icco R, Tassorelli C. Telemedicine and Virtual Reality at Time of COVID-19 Pandemic: An Overview for Future Perspectives in Neurorehabilitation. Frontiers in Neurology 2021;12 View
  34. Altmann P, Hinterberger W, Leutmezer F, Ponleitner M, Monschein T, Zrzavy T, Zulehner G, Kornek B, Lanzenberger R, Berek K, Rommer P, Berger T, Bsteh G. The Smartphone App haMSter for Tracking Patient-Reported Outcomes in People With Multiple Sclerosis: Protocol for a Pilot Study. JMIR Research Protocols 2021;10(5):e25011 View
  35. Voigt I, Inojosa H, Dillenseger A, Haase R, Akgün K, Ziemssen T. Digital Twins for Multiple Sclerosis. Frontiers in Immunology 2021;12 View
  36. Abbadessa G, Brigo F, Clerico M, De Mercanti S, Trojsi F, Tedeschi G, Bonavita S, Lavorgna L. Digital therapeutics in neurology. Journal of Neurology 2022;269(3):1209 View
  37. De Angelis M, Lavorgna L, Carotenuto A, Petruzzo M, Lanzillo R, Brescia Morra V, Moccia M. Digital Technology in Clinical Trials for Multiple Sclerosis: Systematic Review. Journal of Clinical Medicine 2021;10(11):2328 View
  38. REMY C, VALET M, STOQUART G, EL SANKARI S, VAN PESCH V, DE HAAN A, LEJEUNE T. Telecommunication and rehabilitation for patients with multiple sclerosis: access and willingness to use. A cross-sectional study. European Journal of Physical and Rehabilitation Medicine 2020;56(4) View
  39. Guadie H, Kalayou M, Endehabtu B, Nurhussien F, Yilma T, Tilahun B, Shiri R. eConsultation perception among health professionals in response to the COVID-19 pandemic in University of Gondar referral hospital, Ethiopia. Cogent Medicine 2021;8(1):1939838 View
  40. Lang M, Rau D, Cepek L, Cürten F, Ringbauer S, Mayr M. An ID-Associated Application to Facilitate Patient-Tailored Management of Multiple Sclerosis. Brain Sciences 2021;11(8):1061 View
  41. Keszler P, Maloni H, Miles Z, Jin S, Wallin M. Telemedicine and Multiple Sclerosis: A Survey of Health Care Providers Before and During the COVID-19 Pandemic. International Journal of MS Care 2022;24(6):266 View
  42. Learmonth Y, Hunter A, Gibbs L, Walker D, Kermode A, Marck C. The impact of the Australian Black Summer Bushfires and the COVID-19 pandemic on wellbeing in persons with multiple sclerosis; preparation for future and ongoing crises. Disability and Rehabilitation 2023;45(4):630 View
  43. Bevens W, Weiland T, Gray K, Neate S, Nag N, Simpson-Yap S, Reece J, Yu M, Jelinek G. The Feasibility of a Web-Based Educational Lifestyle Program for People With Multiple Sclerosis: A Randomized Controlled Trial. Frontiers in Public Health 2022;10 View
  44. Haase R, Voigt I, Scholz M, Schlieter H, Benedict M, Susky M, Dillenseger A, Ziemssen T. Profiles of eHealth Adoption in Persons with Multiple Sclerosis and Their Caregivers. Brain Sciences 2021;11(8):1087 View
  45. Altmann P, Ponleitner M, Monschein T, Krajnc N, Zulehner G, Zrzavy T, Leutmezer F, Rommer P, Kornek B, Berger T, Bsteh G. Feasibility of a smartphone app to monitor patient reported outcomes in multiple sclerosis: The haMSter interventional trial. DIGITAL HEALTH 2022;8:205520762211353 View
  46. Cree B, Arnold D, Chataway J, Chitnis T, Fox R, Pozo Ramajo A, Murphy N, Lassmann H. Secondary Progressive Multiple Sclerosis. Neurology 2021;97(8):378 View
  47. Lang M, Cepek L, Rau D, Denkinger N, Behrens K, Kornhuber A. Steigerung der Therapietreue durch niederschwellige Kontakte. Nervenheilkunde 2022;41(07/08):497 View
  48. Zaratin P, Vermersch P, Amato M, Brichetto G, Coetzee T, Cutter G, Edan G, Giovannoni G, Gray E, Hartung H, Hobart J, Helme A, Hyde R, Khan U, Leocani L, Mantovani L, McBurney R, Montalban X, Penner I, Uitdehaag B, Valentine P, Weiland H, Bertorello D, Battaglia M, Baneke P, Comi G. The agenda of the global patient reported outcomes for multiple sclerosis (PROMS) initiative: Progresses and open questions. Multiple Sclerosis and Related Disorders 2022;61:103757 View
  49. Soh Y, Zhang H, Toh J, Li X, Wu X. The effectiveness of tele-transitions of care interventions in high-risk older adults: A systematic review and meta-analysis. International Journal of Nursing Studies 2023;139:104428 View
  50. Wendrich K, Krabbenborg L. Digital Self-monitoring of Multiple Sclerosis: Interview Study With Dutch Health Care Providers on the Expected New Configuration of Roles and Responsibilities. JMIR mHealth and uHealth 2022;10(4):e30224 View
  51. Cloosterman S, Wijnands I, Huygens S, Wester V, Lam K, Strijbis E, den Teuling B, Versteegh M. The Potential Impact of Digital Biomarkers in Multiple Sclerosis in The Netherlands: An Early Health Technology Assessment of MS Sherpa. Brain Sciences 2021;11(10):1305 View
  52. Neal W, Richardson E, Motl R. Informing the development of a mobile application for the physical activity guidelines in multiple sclerosis: a qualitative, pluralistic approach. Disability and Rehabilitation: Assistive Technology 2024;19(4):1161 View
  53. Ed‐driouch C, Chéneau F, Simon F, Pasquier G, Combès B, Kerbrat A, Le Page E, Limou S, Vince N, Laplaud D, Mars F, Dumas C, Edan G, Gourraud P. Multiple sclerosis clinical decision support system based on projection to reference datasets. Annals of Clinical and Translational Neurology 2022;9(12):1863 View
  54. Sippel A, Riemann-Lorenz K, Pöttgen J, Wiedemann R, Drixler K, Bitzer E, Holmberg C, Lezius S, Heesen C. Validation of the German eHealth impact questionnaire for online health information users affected by multiple sclerosis. BMC Medical Informatics and Decision Making 2022;22(1) View
  55. Kenyon K, Boonstra F, Noffs G, Butzkueven H, Vogel A, Kolbe S, van der Walt A. An Update on the Measurement of Motor Cerebellar Dysfunction in Multiple Sclerosis. The Cerebellum 2022;22(4):761 View
  56. Ghadiri F, Naser Moghadasi A, Sahraian M. Telemedicine as a strategic intervention for cognitive rehabilitation in MS patients during COVID-19. Acta Neurologica Belgica 2022;122(1):23 View
  57. Bonnechère B, Rintala A, Spooren A, Lamers I, Feys P. Is mHealth a Useful Tool for Self-Assessment and Rehabilitation of People with Multiple Sclerosis? A Systematic Review. Brain Sciences 2021;11(9):1187 View
  58. van der Walt A, Butzkueven H, Shin R, Midaglia L, Capezzuto L, Lindemann M, Davies G, Butler L, Costantino C, Montalban X. Developing a Digital Solution for Remote Assessment in Multiple Sclerosis: From Concept to Software as a Medical Device. Brain Sciences 2021;11(9):1247 View
  59. Thomas S, Pulman A, Dogan H, Jiang N, Passmore D, Pretty K, Fairbanks B, Davies Smith A, Thomas P. Creating a Digital Toolkit to Reduce Fatigue and Promote Quality of Life in Multiple Sclerosis: Participatory Design and Usability Study. JMIR Formative Research 2021;5(12):e19230 View
  60. Voigt I, Ziemssen T. Daten sammeln aus der Praxis: der Weg zum digitalen MS-Zwilling. DNP - Der Neurologe & Psychiater 2021;22(6):30 View
  61. Spreadbury J, Young A, Kipps C. A Comprehensive Literature Search of Digital Health Technology Use in Neurological Conditions: Review of Digital Tools to Promote Self-management and Support. Journal of Medical Internet Research 2022;24(7):e31929 View
  62. Masanneck L, Räuber S, Schroeter C, Lehnerer S, Ziemssen T, Ruck T, Meuth S, Pawlitzki M. Driving time-based identification of gaps in specialised care coverage: An example of neuroinflammatory diseases in Germany. DIGITAL HEALTH 2023;9:205520762311529 View
  63. Bevens W, Weiland T, Gray K, Neate S, Nag N, Simpson-Yap S, Reece J, Yu M, Jelinek G. The Feasibility of an Online Educational Lifestyle Program for People With Multiple Sclerosis: A Randomised Controlled Trial. SSRN Electronic Journal 2021 View
  64. Howard Z, Win K, Guan V. Mobile apps used for people living with multiple sclerosis: A scoping review. Multiple Sclerosis and Related Disorders 2023;73:104628 View
  65. Heesen C, Berger T, Riemann-Lorenz K, Krause N, Friede T, Pöttgen J, Meyer B, Lühmann D. Mobile health interventions in multiple sclerosis: A systematic review. Multiple Sclerosis Journal 2023;29(14):1709 View
  66. Arab F, Hekmatpou D, Saeedi M. The Effect of Distance Empowerment Program on Self-efficacy Among Multiple Sclerosis Patients. Journal of Neuroscience Nursing 2023;55(4):143 View
  67. Tacchino A, Di Giovanni R, Grange E, Spirito M, Ponzio M, Battaglia M, Brichetto G, Solaro C. The administration of the paper and electronic versions of the Manual Ability Measure-36 (MAM-36) and Fatigue Severity Scale (FSS) is equivalent in people with multiple sclerosis. Neurological Sciences 2023 View
  68. Robles-Sanchez M, Moharra M, Bosch-Farré C, Hernández-Leal M, Montalban X, Sastre-Garriga J, Ramió-Torrentà L, Bertran-Noguer C. Views of Multiple Sclerosis Patients About Key Elements for a Decision Aid: A Qualitative Study. Journal of Neuroscience Nursing 2023;55(5):164 View
  69. Guardado S, Mylonopoulou V, Rivera-Romero O, Patt N, Bansi J, Giunti G. An Exploratory Study on the Utility of Patient-Generated Health Data as a Tool for Health Care Professionals in Multiple Sclerosis Care. Methods of Information in Medicine 2023;62(05/06):165 View
  70. Tosun A, Isiklar C, Yildirim M, Coskunsu D. e-Health Literacy Status of Individuals with Multiple Sclerosis in Turkey. Telemedicine and e-Health 2024;30(4):e1166 View
  71. Weigel M, Hutchinson B, Magee W, Leong K, Sweitzer T, Weiss J, Su W, Fleming R. Orchestrating a New Path for Multiple Sclerosis: Achieving Physical, Cognitive, and Emotional Rehabilitation Goals Through Physical and Music Therapy. International Journal of MS Care 2023;25(4):168 View
  72. Zhao T, Taylor B, Campbell J, Palmer A. The disease-modifying therapy utilisation and cost trend for multiple sclerosis in Australia between 2013 and 2022. Multiple Sclerosis Journal 2024;30(1):80 View
  73. Üstündağ S, Yeşilbalkan Ö, Kabay S. The effect of a mobile education application (MobilMS) developed for multiple sclerosis patients in Turkey on symptom management and quality of life: A randomized controlled study. Multiple Sclerosis and Related Disorders 2024;81:105342 View
  74. Abou L, McCloskey C, Wernimont C, Fritz N, Kratz A. Examination of Risk Factors Associated With Falls and Injurious Falls in People With Multiple Sclerosis: An Updated Nationwide Study. Archives of Physical Medicine and Rehabilitation 2024;105(4):717 View
  75. Jasin-Pathiranage S, Grech L, Scroggie C, Sansom P. Awareness and Utilization of Public Physiotherapy Health Care Services to Support People With Multiple Sclerosis: A Health Care Service Audit. International Journal of MS Care 2024;26(1):8 View
  76. Hardy T, Aouad P, Barnett M, Blum S, Broadley S, Carroll W, Crimmins D, Griffiths D, Hodgkinson S, Lechner-Scott J, Lee A, Malhotra R, McCombe P, Parratt J, Plummer C, Van der Walt A, Martel K, Walker R. Onboarding of siponimod in secondary progressive multiple sclerosis patients in Australia: Novel, real-world evidence from the MSGo digital support programme. Multiple Sclerosis Journal - Experimental, Translational and Clinical 2024;10(1) View
  77. Antonioni A, Baroni A, Milani G, Cordioli I, Straudi S. Role of Smartphone Applications in the Assessment and Management of Fatigue in Patients with Multiple Sclerosis: A Scoping Review. Sclerosis 2024;2(1):42 View
  78. Vacchi L, Zirone E, Strina V, Cavaletti G, Ferrarese C. Mobile Applications to Support Multiple Sclerosis Communities: The Post-COVID-19 Scenario. Telemedicine and e-Health 2024;30(6):e1615 View
  79. Kummer B, Busis N. Beyond Audio-Video Telehealth: Perspective on the Current State and Future Directions of Digital Neurological Care in the United States. JMIR Neurotechnology 2024;3:e46736 View
  80. Carpallo-Porcar B, Calvo S, Alamillo-Salas J, Herrero P, Gómez-Barrera M, Jiménez-Sánchez C. An Opportunity for Management of Fatigue, Physical Condition, and Quality of Life Through Asynchronous Telerehabilitation in Patients After Acute Coronavirus Disease 2019: A Randomized Controlled Pilot Study. Archives of Physical Medicine and Rehabilitation 2024 View
  81. Podda J, Tacchino A, Ponzio M, Di Antonio F, Susini A, Pedullà L, Battaglia M, Brichetto G. Mobile Health App (DIGICOG-MS) for Self-Assessment of Cognitive Impairment in People With Multiple Sclerosis: Instrument Validation and Usability Study. JMIR Formative Research 2024;8:e56074 View
  82. van den Berg L, Aardoom J, Kiveron L, Botterweg R, van den Akker – van Marle M, Chavannes N, Hoitsma E. The feasibility and usability of a personal health record for patients with multiple sclerosis: a 2-year evaluation study. Frontiers in Human Neuroscience 2024;18 View
  83. van der Mei I, Thomas S, Shapland S, Laslett L, Taylor B, Huglo A, Honan C. Protocol for a pragmatic randomised controlled feasibility study ofMS WorkSmart: an online intervention for Australians with MS who are employed. BMJ Open 2024;14(5):e079644 View
  84. Tea F, Groh A, Lacey C, Fakolade A. A scoping review assessing the usability of digital health technologies targeting people with multiple sclerosis. npj Digital Medicine 2024;7(1) View

Books/Policy Documents

  1. Goodsaid F, Frueh F, Burczynski M. Drug Discovery and Evaluation: Methods in Clinical Pharmacology. View
  2. Goodsaid F, Frueh F, Burczynski M. Drug Discovery and Evaluation: Methods in Clinical Pharmacology. View
  3. Rapidi C, Del Popolo G, Spinelli M, Kontaxakis A, Vasilakis R, Sampogna G. Telerehabilitation. View
  4. . Multiple Sklerose. View
  5. Mondragón-González S, Burguière E, N’diaye K. Machine Learning for Brain Disorders. View