BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1192 related articles for article (PubMed ID: 33107827)

  • 1. Evaluating the Utility of Smartphone-Based Sensor Assessments in Persons With Multiple Sclerosis in the Real-World Using an App (elevateMS): Observational, Prospective Pilot Digital Health Study.
    Pratap A; Grant D; Vegesna A; Tummalacherla M; Cohan S; Deshpande C; Mangravite L; Omberg L
    JMIR Mhealth Uhealth; 2020 Oct; 8(10):e22108. PubMed ID: 33107827
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Practice Effects of Mobile Tests of Cognition, Dexterity, and Mobility on Patients With Multiple Sclerosis: Data Analysis of a Smartphone-Based Observational Study.
    Woelfle T; Pless S; Wiencierz A; Kappos L; Naegelin Y; Lorscheider J
    J Med Internet Res; 2021 Nov; 23(11):e30394. PubMed ID: 34792480
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Technology-enabled comprehensive characterization of multiple sclerosis in clinical practice.
    Baldassari LE; Nakamura K; Moss BP; Macaron G; Li H; Weber M; Jones SE; Rao SM; Miller D; Conway DS; Bermel RA; Cohen JA; Ontaneda D; McGinley MP
    Mult Scler Relat Disord; 2020 Feb; 38():101525. PubMed ID: 31759186
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Quality of Life and Physical Activity in 629 Individuals With Sarcoidosis: Prospective, Cross-sectional Study Using Smartphones (Sarcoidosis App).
    Chu B; O'Connor DM; Wan M; Barnett I; Shou H; Judson M; Rosenbach M
    JMIR Mhealth Uhealth; 2022 Aug; 10(8):e38331. PubMed ID: 35947439
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Usability of a Mobile App for Real-Time Assessment of Fatigue and Related Symptoms in Patients With Multiple Sclerosis: Observational Study.
    Palotai M; Wallack M; Kujbus G; Dalnoki A; Guttmann C
    JMIR Mhealth Uhealth; 2021 Apr; 9(4):e19564. PubMed ID: 33861208
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Use of smartphone-based remote assessments of multiple sclerosis in Floodlight Open, a global, prospective, open-access study.
    Oh J; Capezzuto L; Kriara L; Schjodt-Eriksen J; van Beek J; Bernasconi C; Montalban X; Butzkueven H; Kappos L; Giovannoni G; Bove R; Julian L; Baker M; Gossens C; Lindemann M
    Sci Rep; 2024 Jan; 14(1):122. PubMed ID: 38168498
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Adherence and Satisfaction of Smartphone- and Smartwatch-Based Remote Active Testing and Passive Monitoring in People With Multiple Sclerosis: Nonrandomized Interventional Feasibility Study.
    Midaglia L; Mulero P; Montalban X; Graves J; Hauser SL; Julian L; Baker M; Schadrack J; Gossens C; Scotland A; Lipsmeier F; van Beek J; Bernasconi C; Belachew S; Lindemann M
    J Med Internet Res; 2019 Aug; 21(8):e14863. PubMed ID: 31471961
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Chemotherapy-Induced Peripheral Neuropathy Detection via a Smartphone App: Cross-sectional Pilot Study.
    Chen CS; Kim J; Garg N; Guntupalli H; Jagsi R; Griggs JJ; Sabel M; Dorsch MP; Callaghan BC; Hertz DL
    JMIR Mhealth Uhealth; 2021 Jul; 9(7):e27502. PubMed ID: 36260403
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Toward a Mobile Platform for Real-world Digital Measurement of Depression: User-Centered Design, Data Quality, and Behavioral and Clinical Modeling.
    Nickels S; Edwards MD; Poole SF; Winter D; Gronsbell J; Rozenkrants B; Miller DP; Fleck M; McLean A; Peterson B; Chen Y; Hwang A; Rust-Smith D; Brant A; Campbell A; Chen C; Walter C; Arean PA; Hsin H; Myers LJ; Marks WJ; Mega JL; Schlosser DA; Conrad AJ; Califf RM; Fromer M
    JMIR Ment Health; 2021 Aug; 8(8):e27589. PubMed ID: 34383685
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Neural correlates of digital measures shown by structural MRI: a post-hoc analysis of a smartphone-based remote assessment feasibility study in multiple sclerosis.
    Ganzetti M; Graves JS; Holm SP; Dondelinger F; Midaglia L; Gaetano L; Craveiro L; Lipsmeier F; Bernasconi C; Montalban X; Hauser SL; Lindemann M
    J Neurol; 2023 Mar; 270(3):1624-1636. PubMed ID: 36469103
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score.
    Zhan A; Mohan S; Tarolli C; Schneider RB; Adams JL; Sharma S; Elson MJ; Spear KL; Glidden AM; Little MA; Terzis A; Dorsey ER; Saria S
    JAMA Neurol; 2018 Jul; 75(7):876-880. PubMed ID: 29582075
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A smartphone sensor-based digital outcome assessment of multiple sclerosis.
    Montalban X; Graves J; Midaglia L; Mulero P; Julian L; Baker M; Schadrack J; Gossens C; Ganzetti M; Scotland A; Lipsmeier F; van Beek J; Bernasconi C; Belachew S; Lindemann M; Hauser SL
    Mult Scler; 2022 Apr; 28(4):654-664. PubMed ID: 34259588
    [TBL] [Abstract][Full Text] [Related]  

  • 13. U-turn speed is a valid and reliable smartphone-based measure of multiple sclerosis-related gait and balance impairment.
    Cheng WY; Bourke AK; Lipsmeier F; Bernasconi C; Belachew S; Gossens C; Graves JS; Montalban X; Lindemann M
    Gait Posture; 2021 Feb; 84():120-126. PubMed ID: 33310432
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Examining Associations Between Smartphone Use and Clinical Severity in Frontotemporal Dementia: Proof-of-Concept Study.
    Paolillo EW; Casaletto KB; Clark AL; Taylor JC; Heuer HW; Wise AB; Dhanam S; Sanderson-Cimino M; Saloner R; Kramer JH; Kornak J; Kremers W; Forsberg L; Appleby B; Bayram E; Bozoki A; Brushaber D; Darby RR; Day GS; Dickerson BC; Domoto-Reilly K; Elahi F; Fields JA; Ghoshal N; Graff-Radford N; G H Hall M; Honig LS; Huey ED; Lapid MI; Litvan I; Mackenzie IR; Masdeu JC; Mendez MF; Mester C; Miyagawa T; Naasan G; Pascual B; Pressman P; Ramos EM; Rankin KP; Rexach J; Rojas JC; VandeVrede L; Wong B; Wszolek ZK; Boeve BF; Rosen HJ; Boxer AL; Staffaroni AM;
    JMIR Aging; 2024 Jun; 7():e52831. PubMed ID: 38922667
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Erratum.
    Mult Scler; 2016 Oct; 22(12):NP9-NP11. PubMed ID: 26041800
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The Implementation of a GPS-Based Location-Tracking Smartphone App in South Africa to Improve Engagement in HIV Care: Randomized Controlled Trial.
    Clouse K; Noholoza S; Madwayi S; Mrubata M; Camlin CS; Myer L; Phillips TK
    JMIR Mhealth Uhealth; 2023 May; 11():e44945. PubMed ID: 37204838
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Feasibility of Obtaining Measures of Lifestyle From a Smartphone App: The MyHeart Counts Cardiovascular Health Study.
    McConnell MV; Shcherbina A; Pavlovic A; Homburger JR; Goldfeder RL; Waggot D; Cho MK; Rosenberger ME; Haskell WL; Myers J; Champagne MA; Mignot E; Landray M; Tarassenko L; Harrington RA; Yeung AC; Ashley EA
    JAMA Cardiol; 2017 Jan; 2(1):67-76. PubMed ID: 27973671
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The Use of Smartphone Keystroke Dynamics to Passively Monitor Upper Limb and Cognitive Function in Multiple Sclerosis: Longitudinal Analysis.
    Lam KH; Twose J; Lissenberg-Witte B; Licitra G; Meijer K; Uitdehaag B; De Groot V; Killestein J
    J Med Internet Res; 2022 Nov; 24(11):e37614. PubMed ID: 36342763
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluating the Feasibility of Frequent Cognitive Assessment Using the Mezurio Smartphone App: Observational and Interview Study in Adults With Elevated Dementia Risk.
    Lancaster C; Koychev I; Blane J; Chinner A; Wolters L; Hinds C
    JMIR Mhealth Uhealth; 2020 Apr; 8(4):e16142. PubMed ID: 32238339
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Symbol Digit Modalities Test Variant in a Smartphone App for Persons With Multiple Sclerosis: Validation Study.
    van Oirschot P; Heerings M; Wendrich K; den Teuling B; Martens MB; Jongen PJ
    JMIR Mhealth Uhealth; 2020 Oct; 8(10):e18160. PubMed ID: 33016886
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 60.