BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

880 related articles for article (PubMed ID: 26677966)

  • 21. Understanding Public Perceptions and Discussions on Opioids Through Twitter: Cross-Sectional Infodemiology Study.
    Carabot F; Fraile-Martínez O; Donat-Vargas C; Santoma J; Garcia-Montero C; Pinto da Costa M; Molina-Ruiz RM; Ortega MA; Alvarez-Mon M; Alvarez-Mon MA
    J Med Internet Res; 2023 Oct; 25():e50013. PubMed ID: 37906234
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Use of Machine Learning to Detect Wildlife Product Promotion and Sales on Twitter.
    Xu Q; Li J; Cai M; Mackey TK
    Front Big Data; 2019; 2():28. PubMed ID: 33693351
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Applying Multiple Data Collection Tools to Quantify Human Papillomavirus Vaccine Communication on Twitter.
    Massey PM; Leader A; Yom-Tov E; Budenz A; Fisher K; Klassen AC
    J Med Internet Res; 2016 Dec; 18(12):e318. PubMed ID: 27919863
    [TBL] [Abstract][Full Text] [Related]  

  • 24. An exploration of social circles and prescription drug abuse through Twitter.
    Hanson CL; Cannon B; Burton S; Giraud-Carrier C
    J Med Internet Res; 2013 Sep; 15(9):e189. PubMed ID: 24014109
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection.
    Surian D; Nguyen DQ; Kennedy G; Johnson M; Coiera E; Dunn AG
    J Med Internet Res; 2016 Aug; 18(8):e232. PubMed ID: 27573910
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Geographic Differences in Cannabis Conversations on Twitter: Infodemiology Study.
    van Draanen J; Tao H; Gupta S; Liu S
    JMIR Public Health Surveill; 2020 Oct; 6(4):e18540. PubMed ID: 33016888
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) Analyses.
    Parker MA; Valdez D; Rao VK; Eddens KS; Agley J
    J Med Internet Res; 2023 Jul; 25():e48405. PubMed ID: 37505795
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Illicit online marketing of lorcaserin before DEA scheduling.
    Liang BA; Mackey TK; Archer-Hayes AN; Shinn LM
    Obesity (Silver Spring); 2013 May; 21(5):861-4. PubMed ID: 23512816
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Availability of prescription drugs for bipolar disorder at online pharmacies.
    Monteith S; Glenn T; Bauer R; Conell J; Bauer M
    J Affect Disord; 2016 Mar; 193():59-65. PubMed ID: 26766033
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Drug Use in the Twittersphere: A Qualitative Contextual Analysis of Tweets About Prescription Drugs.
    Shutler L; Nelson LS; Portelli I; Blachford C; Perrone J
    J Addict Dis; 2015; 34(4):303-10. PubMed ID: 26364675
    [TBL] [Abstract][Full Text] [Related]  

  • 31. "When 'Bad' is 'Good'": Identifying Personal Communication and Sentiment in Drug-Related Tweets.
    Daniulaityte R; Chen L; Lamy FR; Carlson RG; Thirunarayan K; Sheth A
    JMIR Public Health Surveill; 2016 Oct; 2(2):e162. PubMed ID: 27777215
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection.
    Kim Y; Huang J; Emery S
    J Med Internet Res; 2016 Feb; 18(2):e41. PubMed ID: 26920122
    [TBL] [Abstract][Full Text] [Related]  

  • 33. What are health-related users tweeting? A qualitative content analysis of health-related users and their messages on twitter.
    Lee JL; DeCamp M; Dredze M; Chisolm MS; Berger ZD
    J Med Internet Res; 2014 Oct; 16(10):e237. PubMed ID: 25591063
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Exploring Substance Use Tweets of Youth in the United States: Mixed Methods Study.
    Stevens RC; Brawner BM; Kranzler E; Giorgi S; Lazarus E; Abera M; Huang S; Ungar L
    JMIR Public Health Surveill; 2020 Mar; 6(1):e16191. PubMed ID: 32213472
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Digital danger: a review of the global public health, patient safety and cybersecurity threats posed by illicit online pharmacies.
    Mackey TK; Nayyar G
    Br Med Bull; 2016 Jun; 118(1):110-26. PubMed ID: 27151957
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A Typology of Social Media Use by Human Service Nonprofits: Mixed Methods Study.
    Xue J; Shier ML; Chen J; Wang Y; Zheng C; Chen C
    J Med Internet Res; 2024 May; 26():e51698. PubMed ID: 38718390
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Social Listening: A Content Analysis of E-Cigarette Discussions on Twitter.
    Cole-Lewis H; Pugatch J; Sanders A; Varghese A; Posada S; Yun C; Schwarz M; Augustson E
    J Med Internet Res; 2015 Oct; 17(10):e243. PubMed ID: 26508089
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data.
    Kim SJ; Marsch LA; Hancock JT; Das AK
    J Med Internet Res; 2017 Oct; 19(10):e353. PubMed ID: 29089287
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Promotion of Disposable Electronic Cigarette Flavors and Topics on Twitter.
    Sun L; Tao C; Xie Z; Li D
    Int J Environ Res Public Health; 2020 Dec; 17(24):. PubMed ID: 33321714
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Building a National Neighborhood Dataset From Geotagged Twitter Data for Indicators of Happiness, Diet, and Physical Activity.
    Nguyen QC; Li D; Meng HW; Kath S; Nsoesie E; Li F; Wen M
    JMIR Public Health Surveill; 2016 Oct; 2(2):e158. PubMed ID: 27751984
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 44.