Explore our sister journals here.

Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 24.04.18 in Vol 5, No 1 (2018): Jan-Jun

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

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

Martin Marziniak, Giampaolo Brichetto, Peter Feys, Uta Meyding-Lamadé, Karen Vernon, Sven G. Meuth

JMIR Rehabil Assist Technol 2018 (Apr 24); 5(1):e5 

According to Crossref, the following articles are citing this article (DOI 10.2196/rehab.7805):

(note that this is only a small subset of citations)

  1. Claflin SB, Gates R, Maher M, Taylor BV. Building a Successful Massive Open Online Course About Multiple Sclerosis: A Process Description. Journal of Medical Internet Research 2020;22(7):e16687
    CrossRef
  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
    CrossRef
  3. Newland P, Oliver B, Newland JM, Thomas FP. Testing Feasibility of a Mobile Application to Monitor Fatigue in People With Multiple Sclerosis. Journal of Neuroscience Nursing 2019;51(6):331
    CrossRef
  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
    CrossRef
  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
    CrossRef
  6. Wendrich K, van Oirschot P, Martens MB, Heerings M, Jongen PJ, Krabbenborg L. Toward Digital Self-monitoring of Multiple Sclerosis. International Journal of MS Care 2019;21(6):282
    CrossRef
  7. Jongen PJ, 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
    CrossRef
  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
    CrossRef
  9. . COVID-19 will change MS care forever – Yes. Multiple Sclerosis Journal 2020;26(10):1147
    CrossRef
  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
    CrossRef
  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
    CrossRef
  12. Marrie RA, Leung S, Tyry T, Cutter GR, Fox R, Salter A. Use of eHealth and mHealth technology by persons with multiple sclerosis. Multiple Sclerosis and Related Disorders 2019;27:13
    CrossRef
  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 JK, 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
    CrossRef
  14. Oreja-Guevara C, Potra S, Bauer B, Centonze D, Giambastiani M, Giovannoni G, Kesselring J, Langdon D, Morrow SA, 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
    CrossRef
  15. Giunti G, Rivera-Romero O, Kool J, Bansi J, Sevillano JL, 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
    CrossRef
  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
    CrossRef
  17. Polhemus AM, Novák J, Ferrao J, Simblett S, Radaelli M, Locatelli P, Matcham F, Kerz M, Weyer J, Burke P, Huang V, Dockendorf MF, Temesi G, Wykes T, Comi G, Myin-Germeys I, Folarin A, Dobson R, Manyakov NV, Narayan VA, 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
    CrossRef
  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)
    CrossRef
  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
    CrossRef
  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
    CrossRef
  21. O’Donnell JM, Jelinek GA, Gray KM, De Livera A, Brown CR, Neate SL, O’Kearney EL, Taylor KL, Bevens W, Weiland TJ. 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
    CrossRef
  22. Minen MT, Schaubhut KB, 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
    CrossRef
  23. Kalron A, Achiron A, Allali G. Multiple facets of the cerebellum in multiple sclerosis. Journal of Neurophysiology 2019;121(1):345
    CrossRef
  24. van Beek JJW, van Wegen EEH, Rietberg MB, Nyffeler T, Bohlhalter S, Kamm CP, 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
    CrossRef
  25. . We should monitor our patients with wearable technology instead of neurological examination – Commentary. Multiple Sclerosis Journal 2020;26(9):1028
    CrossRef
  26. Maresca G, Maggio MG, De Luca R, Manuli A, Tonin P, Pignolo L, Calabrò RS. Tele-Neuro-Rehabilitation in Italy: State of the Art and Future Perspectives. Frontiers in Neurology 2020;11
    CrossRef
  27. Meyding-Lamadé U, Bassa B, Tibitanzl P, Davtyan A, Lamadé EK, Craemer EM. Telerehabilitation: von der virtuellen Welt zur Realität – Medizin im 21. Jahrhundert. Der Nervenarzt 2021;92(2):127
    CrossRef
  28. Celius EG, 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
    CrossRef
  29. Stuart CM, 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
    CrossRef
  30. Miller M, Roxburgh CS, 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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  34. Altmann P, Hinterberger W, Leutmezer F, Ponleitner M, Monschein T, Zrzavy T, Zulehner G, Kornek B, Lanzenberger R, Berek K, Rommer PS, 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
    CrossRef
  35. Voigt I, Inojosa H, Dillenseger A, Haase R, Akgün K, Ziemssen T. Digital Twins for Multiple Sclerosis. Frontiers in Immunology 2021;12
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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)
    CrossRef
  39. Guadie HA, Kalayou MH, Endehabtu BF, Nurhussien F, Yilma TM, 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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  42. Learmonth YC, Hunter A, Gibbs L, Walker D, Kermode AG, Marck CH. 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
    CrossRef
  43. Bevens W, Weiland TJ, Gray K, Neate SL, Nag N, Simpson-Yap S, Reece J, Yu M, Jelinek GA. The Feasibility of a Web-Based Educational Lifestyle Program for People With Multiple Sclerosis: A Randomized Controlled Trial. Frontiers in Public Health 2022;10
    CrossRef
  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
    CrossRef
  45. Altmann P, Ponleitner M, Monschein T, Krajnc N, Zulehner G, Zrzavy T, Leutmezer F, Rommer PS, 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
    CrossRef
  46. Cree BA, Arnold DL, Chataway J, Chitnis T, Fox RJ, Pozo Ramajo A, Murphy N, Lassmann H. Secondary Progressive Multiple Sclerosis. Neurology 2021;97(8):378
    CrossRef
  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
    CrossRef
  48. Zaratin P, Vermersch P, Amato MP, Brichetto G, Coetzee T, Cutter G, Edan G, Giovannoni G, Gray E, Hartung HP, Hobart J, Helme A, Hyde R, Khan U, Leocani L, Mantovani LG, McBurney R, Montalban X, Penner I, Uitdehaag BM, Valentine P, Weiland H, Bertorello D, Battaglia MA, 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
    CrossRef
  49. Soh YY, Zhang H, Toh JJY, Li X, Wu XV. 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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  52. Neal WN, Richardson EV, Motl RW. Informing the development of a mobile application for the physical activity guidelines in multiple sclerosis: a qualitative, pluralistic approach. Disability and Rehabilitation: Assistive Technology 2022;:1
    CrossRef
  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
    CrossRef
  54. Sippel A, Riemann-Lorenz K, Pöttgen J, Wiedemann R, Drixler K, Bitzer EM, 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)
    CrossRef
  55. Kenyon KH, Boonstra F, Noffs G, Butzkueven H, Vogel AP, Kolbe S, van der Walt A. An Update on the Measurement of Motor Cerebellar Dysfunction in Multiple Sclerosis. The Cerebellum 2022;22(4):761
    CrossRef
  56. Ghadiri F, Naser Moghadasi A, Sahraian MA. Telemedicine as a strategic intervention for cognitive rehabilitation in MS patients during COVID-19. Acta Neurologica Belgica 2022;122(1):23
    CrossRef
  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
    CrossRef
  58. van der Walt A, Butzkueven H, Shin RK, Midaglia L, Capezzuto L, Lindemann M, Davies G, Butler LM, 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
    CrossRef
  59. Thomas S, Pulman A, Dogan H, Jiang N, Passmore D, Pretty K, Fairbanks B, Davies Smith A, Thomas PW. 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
    CrossRef
  60. Voigt I, Ziemssen T. Daten sammeln aus der Praxis: der Weg zum digitalen MS-Zwilling. DNP - Der Neurologe & Psychiater 2021;22(6):30
    CrossRef
  61. Spreadbury JH, Young A, Kipps CM. 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
    CrossRef
  62. Masanneck L, Räuber S, Schroeter CB, Lehnerer S, Ziemssen T, Ruck T, Meuth SG, Pawlitzki M. Driving time-based identification of gaps in specialised care coverage: An example of neuroinflammatory diseases in Germany. DIGITAL HEALTH 2023;9:205520762311529
    CrossRef
  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;
    CrossRef
  64. Howard Z, Win KT, Guan V. Mobile apps used for people living with multiple sclerosis: A scoping review. Multiple Sclerosis and Related Disorders 2023;73:104628
    CrossRef
  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
    CrossRef
  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
    CrossRef
  67. Tacchino A, Di Giovanni R, Grange E, Spirito MM, Ponzio M, Battaglia MA, Brichetto G, Solaro CM. 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 2024;45(3):1155
    CrossRef
  68. Robles-Sanchez M, Moharra M, Bosch-Farré C, Hernández-Leal MJ, 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
    CrossRef
  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
    CrossRef
  70. Tosun AT, Isiklar C, Yildirim M, Coskunsu DK. e-Health Literacy Status of Individuals with Multiple Sclerosis in Turkey. Telemedicine and e-Health 2024;30(4):e1166
    CrossRef
  71. Weigel M, Hutchinson B, Magee WL, Leong K, Sweitzer T, Weiss JL, 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
    CrossRef
  72. Zhao T, Taylor BV, Campbell JA, Palmer AJ. The disease-modifying therapy utilisation and cost trend for multiple sclerosis in Australia between 2013 and 2022. Multiple Sclerosis Journal 2024;30(1):80
    CrossRef
  73. Üstündağ S, Yeşilbalkan U, Kabay SC. 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
    CrossRef
  74. Abou L, McCloskey C, Wernimont C, Fritz NE, Kratz AL. 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
    CrossRef
  75. Jasin-Pathiranage S, Grech LB, 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
    CrossRef
  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)
    CrossRef
  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
    CrossRef
  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;
    CrossRef
  79. Kummer BR, Busis NA. 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
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/rehab.7805):

  1. Goodsaid F, Frueh F, Burczynski ME. Drug Discovery and Evaluation: Methods in Clinical Pharmacology. 2019. Chapter 47-1:1
    CrossRef
  2. Goodsaid F, Frueh F, Burczynski ME. Drug Discovery and Evaluation: Methods in Clinical Pharmacology. 2020. Chapter 47:425
    CrossRef
  3. Rapidi C, Del Popolo G, Spinelli M, Kontaxakis A, Vasilakis R, Sampogna G. Telerehabilitation. 2022. :225
    CrossRef
  4. . Multiple Sklerose. 2022. :468
    CrossRef
  5. Mondragón-González SL, Burguière E, N’diaye K. Machine Learning for Brain Disorders. 2023. Chapter 12:355
    CrossRef