Skip to main content
Top
Published in: Journal of Translational Medicine 1/2012

Open Access 01-12-2012 | Editorial

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

Authors: Michael N Liebman, Sabrina Molinaro

Published in: Journal of Translational Medicine | Issue 1/2012

Login to get access

Abstract

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.
Literature
2.
go back to reference 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
3.
go back to reference Hian Chye K, Tan G: Data Mining Applications in Healthcare. J Healthc Inf Manag. 2005, 19: 2- Hian Chye K, Tan G: Data Mining Applications in Healthcare. J Healthc Inf Manag. 2005, 19: 2-
4.
go back to reference Shahid S: How to design next-generation EHR data models, Healthcare IT News. 2012,  ,   Shahid S: How to design next-generation EHR data models, Healthcare IT News. 2012,  ,  
5.
go back to reference Electronic Health Record Standards: Health Policy Brief, Health Affairs. 2010, RW Johnson Foundation, Georgetown, MD Electronic Health Record Standards: Health Policy Brief, Health Affairs. 2010, RW Johnson Foundation, Georgetown, MD
6.
go back to reference 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 2012CrossRefPubMedPubMedCentral 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 2012CrossRefPubMedPubMedCentral
7.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
8.
go back to reference Liebman MN, Molinaro S: Hypothesis Generation and Evaluation in Clinical Trial Design. BIBM. 2011, 645-651. Proceedings of BIBM 2011 Liebman MN, Molinaro S: Hypothesis Generation and Evaluation in Clinical Trial Design. BIBM. 2011, 645-651. Proceedings of BIBM 2011
9.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
10.
go back to reference 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
11.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
12.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
Metadata
Title
Computational modeling and epidemiologic approaches: a new section of the journal of translational medicine
Authors
Michael N Liebman
Sabrina Molinaro
Publication date
01-12-2012
Publisher
BioMed Central
Published in
Journal of Translational Medicine / Issue 1/2012
Electronic ISSN: 1479-5876
DOI
https://doi.org/10.1186/1479-5876-10-210

Other articles of this Issue 1/2012

Journal of Translational Medicine 1/2012 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine