Computational modeling and epidemiologic approaches: a new section of the journal of translational medicine

Journal of Translational Medicine - Tập 10 - Trang 1-3 - 2012
Michael N Liebman1, Sabrina Molinaro2
1Strategic Medicine, Inc, USA
2Institute of Clinical Physiology, National Research Council, Pisa, Italy

Tóm tắt

A new section of the Journal of Translational Medicine is being introduced to encourage rapid communication of methods and results that utilize computational modeling and epidemiologic approaches in translational medicine. The focus will be on population-based studies that extend towards more molecular level analysis. Submission of studies involving methods development is encouraged where actual application and results can be shown in the healthcare and life sciences domains.

Tài liệu tham khảo

Marincola FM: Translational Medicine: a two-way road. J Transl Med. 2003, 1: 1-10.1186/1479-5876-1-1. 24 July 2003 Liebman MN, Marincola FM: Expanding the perspective of translational medicine: the value of observational data. J Transl Med. 2012, 10: 61-10.1186/1479-5876-10-61. Hian Chye K, Tan G: Data Mining Applications in Healthcare. J Healthc Inf Manag. 2005, 19: 2- Shahid S: How to design next-generation EHR data models, Healthcare IT News. 2012,  ,   Electronic Health Record Standards: Health Policy Brief, Health Affairs. 2010, RW Johnson Foundation, Georgetown, MD Siciliano V, Pitino A, Gori M, Curzio O, Fortunato L, Liebman M, Molinaro S: The Application of Observational Data in Translational Medicine: Analyzing Tobacco-Use Behaviors of Adolescents. J Transl Med. 2012, 10: 89-10.1186/1479-5876-10-89. 14 May 2012 Cole BL, Fielding JE: Health Impact Assessment: A Tool to Help Policy Makers Understand Health Beyond Health Care. Annu Rev Public Health. 2007, 28: 393-412. 10.1146/annurev.publhealth.28.083006.131942. Liebman MN, Molinaro S: Hypothesis Generation and Evaluation in Clinical Trial Design. BIBM. 2011, 645-651. Proceedings of BIBM 2011 Nelson HD, Huffman LH, Fu R, Harris EL: U.S. Preventive Services Task Force, Genetic risk assessment and BRCA mutation testing for breast and ovarian cancer susceptibility: systematic evidence review for the U.S. Preventive Services Task Force. Ann Intern Med. 2005, 143 (5): 362-379. Nich C, Carroll KM: ‘Intention-to-treat’ meets ‘missingdata’: implications of alternate strategies for analyzing clinical trials data. Drug Alcohol Depend. 2002, 68 (2): 121-130. 10.1016/S0376-8716(02)00111-4. Verma M, Seminara D, Fernando AJ, Christy J, Iwamoto K, Hartmuller V: Genetic and Epigenetic Biomarkers in Cancer: Improving Diagnosis, Risk Assessment, and Disease Stratification. Mol Diagn Ther. 2006, 10 (1): 1-15. 10.1007/BF03256438. Hu H, Correll M, Kvecher L, Osmond M, Clark J, Bekhash A, Schwab G, Gao D, Gao J, Kubatin V, Shriver CD, Hooke JA, Maxwell LG, Kovatich AJ, Sheldon JG, Liebman MN, Mural RJ: DW4TR: A Data Warehouse for Translational Research. J Biomed Inform. 2011, 44: 1004-1019. 10.1016/j.jbi.2011.08.003.