Published on in Vol 16, No 4 (2014): April

Collaborative Biomedicine in the Age of Big Data: The Case of Cancer

Collaborative Biomedicine in the Age of Big Data: The Case of Cancer

Collaborative Biomedicine in the Age of Big Data: The Case of Cancer

Journals

  1. Pak K, Oh S, Goh T, Heo H, Han M, Jeong D, Lee C, Sun H, Kang J, Choi S, Lee S, Kwon E, Kang J, Kim Y. A User-Friendly, Web-Based Integrative Tool (ESurv) for Survival Analysis: Development and Validation Study. Journal of Medical Internet Research 2020;22(5):e16084 View
  2. Knobf M, Cooley M, Duffy S, Doorenbos A, Eaton L, Given B, Mayer D, McCorkle R, Miaskowski C, Mitchell S, Sherwood P, Bender C, Cataldo J, Hershey D, Katapodi M, Menon U, Schumacher K, Sun V, Ah D, LoBiondo-Wood G, Mallory G. The 2014–2018 Oncology Nursing Society Research Agenda. Oncology Nursing Forum 2015;42(5):450 View
  3. Parra Saiani P. Le risorse e il controllo. I big data oltre il mito. SOCIOLOGIA E RICERCA SOCIALE 2016;(109):28 View
  4. Finlayson S, Levy M, Reddy S, Rubin D. Toward rapid learning in cancer treatment selection: An analytical engine for practice-based clinical data. Journal of Biomedical Informatics 2016;60:104 View
  5. Hesse B. Role of the Internet in Solving the Last Mile Problem in Medicine. Journal of Medical Internet Research 2019;21(10):e16385 View
  6. Jaffee E, Dang C, Agus D, Alexander B, Anderson K, Ashworth A, Barker A, Bastani R, Bhatia S, Bluestone J, Brawley O, Butte A, Coit D, Davidson N, Davis M, DePinho R, Diasio R, Draetta G, Frazier A, Futreal A, Gambhir S, Ganz P, Garraway L, Gerson S, Gupta S, Heath J, Hoffman R, Hudis C, Hughes-Halbert C, Ibrahim R, Jadvar H, Kavanagh B, Kittles R, Le Q, Lippman S, Mankoff D, Mardis E, Mayer D, McMasters K, Meropol N, Mitchell B, Naredi P, Ornish D, Pawlik T, Peppercorn J, Pomper M, Raghavan D, Ritchie C, Schwarz S, Sullivan R, Wahl R, Wolchok J, Wong S, Yung A. Future cancer research priorities in the USA: a Lancet Oncology Commission. The Lancet Oncology 2017;18(11):e653 View
  7. Platt J, Raj M, Wienroth M. An Analysis of the Learning Health System in Its First Decade in Practice: Scoping Review. Journal of Medical Internet Research 2020;22(3):e17026 View
  8. Michie S, Thomas J, Johnston M, Aonghusa P, Shawe-Taylor J, Kelly M, Deleris L, Finnerty A, Marques M, Norris E, O’Mara-Eves A, West R. The Human Behaviour-Change Project: harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation. Implementation Science 2017;12(1) View
  9. Dolley S. Big Data’s Role in Precision Public Health. Frontiers in Public Health 2018;6 View
  10. Khan I, Javaid M. Big Data Applications in Medical Field: A Literature Review. Journal of Industrial Integration and Management 2021;06(01):53 View
  11. Geifman N, Butte A. A patient-level data meta-analysis of standard-of-care treatments from eight prostate cancer clinical trials. Scientific Data 2016;3(1) View
  12. Kesić S. How to preserve the original mission of research in the omics era?. EMBO reports 2020;21(1) View
  13. De Silva D, Ranasinghe W, Bandaragoda T, Adikari A, Mills N, Iddamalgoda L, Alahakoon D, Lawrentschuk N, Persad R, Osipov E, Gray R, Bolton D, Fiorini N. Machine learning to support social media empowered patients in cancer care and cancer treatment decisions. PLOS ONE 2018;13(10):e0205855 View
  14. Parra Saiani P. Los gatekeepers y los recursos de la investigación. Viejos desafíos y nuevas perspectivas en el tiempo de los big data. Revista Colombiana de Sociología 2016;39(2) View
  15. Gîfu D, Trandabăț D, Cohen K, Xia J. Special Issue on the Curative Power of Medical Data. Data 2019;4(2):85 View
  16. Onishchenko G, Kutyrev V, Odinokov G, Safronov V. Synthetic Biology: Risks and Prospects. Problems of Particularly Dangerous Infections 2014;(3):5 View
  17. Leung R. Increasing the Impact of JMIR Journals in the Attention Economy. Journal of Medical Internet Research 2019;21(10):e16172 View
  18. Wait S, Han D, Muthu V, Oliver K, Chrostowski S, Florindi F, de Lorenzo F, Gandouet B, Spurrier G, Ryll B, Wierinck L, Szucs T, Hess R, Rosvall-Puplett T, Roediger A, Arora J, Yared W, Hanna S, Steinmann K, Aapro M. Towards sustainable cancer care: Reducing inefficiencies, improving outcomes—A policy report from the All.Can initiative. Journal of Cancer Policy 2017;13:47 View
  19. Willems S, Abeln S, Feenstra K, de Bree R, van der Poel E, Baatenburg de Jong R, Heringa J, van den Brekel M. The potential use of big data in oncology. Oral Oncology 2019;98:8 View
  20. Spitz M, Lam T, Schully S, Khoury M. The Next Generation of Large-Scale Epidemiologic Research: Implications for Training Cancer Epidemiologists. American Journal of Epidemiology 2014;180(10):964 View
  21. Baldwin J, Bootman J, Carter R, Crabtree B, Piascik P, Ekoma J, Maine L. Pharmacy Practice, Education, and Research in the Era of Big Data: 2014-15 Argus Commission Report. American Journal of Pharmaceutical Education 2015;79(10):S26 View
  22. Fasola G, Macerelli M, Follador A, Rihawi K, Aprile G, Mea V. Health Information Technology in Oncology Practice: A Literature Review. Cancer Informatics 2014;13:CIN.S12417 View
  23. Wilson J, Altman R. Biomarkers: Delivering on the expectation of molecularly driven, quantitative health. Experimental Biology and Medicine 2018;243(3):313 View
  24. Hesse B, Moser R, Riley W. From Big Data to Knowledge in the Social Sciences. The ANNALS of the American Academy of Political and Social Science 2015;659(1):16 View
  25. Salas-Vega S, Haimann A, Mossialos E. Big Data and Health Care: Challenges and Opportunities for Coordinated Policy Development in the EU. Health Systems & Reform 2015;1(4):285 View
  26. Caraguel F, Lesart A, Estève F, van der Sanden B, Stéphanou A. Towards the Design of a Patient-Specific Virtual Tumour. Computational and Mathematical Methods in Medicine 2016;2016:1 View
  27. Zawati M, Junker A, Knoppers B, Rahimzadeh V. Streamlining review of research involving humans: Canadian models: Table 1. Journal of Medical Genetics 2015;52(8):566 View
  28. Denicolai S, Previtali P. Precision Medicine: Implications for value chains and business models in life sciences. Technological Forecasting and Social Change 2020;151:119767 View
  29. Longo U, Carnevale A, Massaroni C, Lo Presti D, Berton A, Candela V, Schena E, Denaro V. Personalized, Predictive, Participatory, Precision, and Preventive (P5) Medicine in Rotator Cuff Tears. Journal of Personalized Medicine 2021;11(4):255 View
  30. Caufield J, Sigdel D, Fu J, Choi H, Guevara-Gonzalez V, Wang D, Ping P. Cardiovascular informatics: building a bridge to data harmony. Cardiovascular Research 2022;118(3):732 View
  31. Guo H, Liu H, Chen J, Zeng Y. Data Mining and Risk Prediction Based on Apriori Improved Algorithm for Lung Cancer. Journal of Signal Processing Systems 2021;93(7):795 View
  32. Carnevale A, Tangari E, Iannone A, Sartini E. Will Big Data and personalized medicine do the gender dimension justice?. AI & SOCIETY 2023;38(2):829 View
  33. An N, Mattison J, Chen X, Alterovitz G. Team Science in Precision Medicine: Study of Coleadership and Coauthorship Across Health Organizations. Journal of Medical Internet Research 2021;23(6):e17137 View
  34. Hesse B, Kwasnicka D, Ahern D. Emerging digital technologies in cancer treatment, prevention, and control. Translational Behavioral Medicine 2021;11(11):2009 View

Books/Policy Documents

  1. Roff-Wexler S. Strategic Data-Based Wisdom in the Big Data Era. View
  2. Yao W, Huang Y. Big Data Analytics for Cyber-Physical System in Smart City. View
  3. Rahimzadeh V. Progress and Challenges in Precision Medicine. View
  4. Hesse B, Ahern D, Beckjord E. Oncology Informatics. View
  5. Roff-Wexler S. Big Data. View
  6. Onukwugha E, Plaisant C, Shneiderman B. Oncology Informatics. View
  7. Longo G, Montévil M. Life Sciences, Information Sciences. View
  8. Hesse B, Arora N, Klein W. Oncology Informatics. View
  9. Gaitanou P, Garoufallou E, Balatsoukas P. Metadata and Semantics Research. View
  10. Glezerman M, Ciechanover A, Legato M. Sex, Gender, and Epigenetics. View