These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

168 related articles for article (PubMed ID: 33904822)

  • 1. Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal Study.
    Low CA; Li M; Vega J; Durica KC; Ferreira D; Tam V; Hogg M; Zeh Iii H; Doryab A; Dey AK
    JMIR Cancer; 2021 Apr; 7(2):e27975. PubMed ID: 33904822
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Estimation of Symptom Severity During Chemotherapy From Passively Sensed Data: Exploratory Study.
    Low CA; Dey AK; Ferreira D; Kamarck T; Sun W; Bae S; Doryab A
    J Med Internet Res; 2017 Dec; 19(12):e420. PubMed ID: 29258977
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A prospective, randomized, single-blinded, crossover trial to investigate the effect of a wearable device in addition to a daily symptom diary for the remote early detection of SARS-CoV-2 infections (COVID-RED): a structured summary of a study protocol for a randomized controlled trial.
    Brakenhoff TB; Franks B; Goodale BM; van de Wijgert J; Montes S; Veen D; Fredslund EK; Rispens T; Risch L; Dowling AV; Folarin AA; Bruijning P; Dobson R; Heikamp T; Klaver P; Cronin M; Grobbee DE;
    Trials; 2021 Jun; 22(1):412. PubMed ID: 34158099
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A prospective, randomized, single-blinded, crossover trial to investigate the effect of a wearable device in addition to a daily symptom diary for the Remote Early Detection of SARS-CoV-2 infections (COVID-RED): a structured summary of a study protocol for a randomized controlled trial.
    Brakenhoff TB; Franks B; Goodale BM; van de Wijgert J; Montes S; Veen D; Fredslund EK; Rispens T; Risch L; Dowling AV; Folarin AA; Bruijning P; Dobson R; Heikamp T; Klaver P; Cronin M; Grobbee DE;
    Trials; 2021 Oct; 22(1):694. PubMed ID: 34635140
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Real-Time Mobile Intervention to Reduce Sedentary Behavior Before and After Cancer Surgery: Pilot Randomized Controlled Trial.
    Low CA; Danko M; Durica KC; Vega J; Li M; Kunta AR; Mulukutla R; Ren Y; Sereika SM; Bartlett DL; Bovbjerg DH; Dey AK; Jakicic JM
    JMIR Perioper Med; 2023 Jan; 6():e41425. PubMed ID: 36633893
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. A Real-Time Mobile Intervention to Reduce Sedentary Behavior Before and After Cancer Surgery: Usability and Feasibility Study.
    Low CA; Danko M; Durica KC; Kunta AR; Mulukutla R; Ren Y; Bartlett DL; Bovbjerg DH; Dey AK; Jakicic JM
    JMIR Perioper Med; 2020 Mar; 3(1):e17292. PubMed ID: 33393915
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study.
    Sano A; Taylor S; McHill AW; Phillips AJ; Barger LK; Klerman E; Picard R
    J Med Internet Res; 2018 Jun; 20(6):e210. PubMed ID: 29884610
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The Google Health Digital Well-Being Study: Protocol for a Digital Device Use and Well-Being Study.
    McDuff D; Barakat A; Winbush A; Jiang A; Cordeiro F; Crowley R; Kahn LE; Hernandez J; Allen NB
    JMIR Res Protoc; 2024 May; 13():e49189. PubMed ID: 38743938
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Wearable Sensor and Mobile App-Based mHealth Approach for Investigating Substance Use and Related Factors in Daily Life: Protocol for an Ecological Momentary Assessment Study.
    Takano A; Ono K; Nozawa K; Sato M; Onuki M; Sese J; Yumoto Y; Matsushita S; Matsumoto T
    JMIR Res Protoc; 2023 Apr; 12():e44275. PubMed ID: 37040162
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data.
    Doryab A; Villalba DK; Chikersal P; Dutcher JM; Tumminia M; Liu X; Cohen S; Creswell K; Mankoff J; Creswell JD; Dey AK
    JMIR Mhealth Uhealth; 2019 Jul; 7(7):e13209. PubMed ID: 31342903
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Mobile Sensing App to Monitor Youth Mental Health: Observational Pilot Study.
    MacLeod L; Suruliraj B; Gall D; Bessenyei K; Hamm S; Romkey I; Bagnell A; Mattheisen M; Muthukumaraswamy V; Orji R; Meier S
    JMIR Mhealth Uhealth; 2021 Oct; 9(10):e20638. PubMed ID: 34698650
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identifying Person-Specific Drivers of Depression in Adolescents: Protocol for a Smartphone-Based Ecological Momentary Assessment and Passive Sensing Study.
    Ng MY; Frederick JA; Fisher AJ; Allen NB; Pettit JW; McMakin DL
    JMIR Res Protoc; 2024 Jul; 13():e43931. PubMed ID: 39012691
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The accuracy of passive phone sensors in predicting daily mood.
    Pratap A; Atkins DC; Renn BN; Tanana MJ; Mooney SD; Anguera JA; Areán PA
    Depress Anxiety; 2019 Jan; 36(1):72-81. PubMed ID: 30129691
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild.
    Wahle F; Kowatsch T; Fleisch E; Rufer M; Weidt S
    JMIR Mhealth Uhealth; 2016 Sep; 4(3):e111. PubMed ID: 27655245
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Using Passive Smartphone Sensing for Improved Risk Stratification of Patients With Depression and Diabetes: Cross-Sectional Observational Study.
    Sarda A; Munuswamy S; Sarda S; Subramanian V
    JMIR Mhealth Uhealth; 2019 Jan; 7(1):e11041. PubMed ID: 30694197
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Leveraging Mobile Phone Sensors, Machine Learning, and Explainable Artificial Intelligence to Predict Imminent Same-Day Binge-drinking Events to Support Just-in-time Adaptive Interventions: Algorithm Development and Validation Study.
    Bae SW; Suffoletto B; Zhang T; Chung T; Ozolcer M; Islam MR; Dey AK
    JMIR Form Res; 2023 May; 7():e39862. PubMed ID: 36809294
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Digital Phenotyping of Mental and Physical Conditions: Remote Monitoring of Patients Through RADAR-Base Platform.
    Rashid Z; Folarin AA; Zhang Y; Ranjan Y; Conde P; Sankesara H; Sun S; Stewart C; Laiou P; Dobson RJB
    JMIR Ment Health; 2024 Oct; 11():e51259. PubMed ID: 39441952
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study.
    Saeb S; Zhang M; Karr CJ; Schueller SM; Corden ME; Kording KP; Mohr DC
    J Med Internet Res; 2015 Jul; 17(7):e175. PubMed ID: 26180009
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.