Literature DB >> 23370412

Pediatric systems medicine: evaluating needs and opportunities using congenital heart block as a case study.

Jesper Tegnér1, Imad Abugessaisa.   

Abstract

Medicine and pediatrics are changing and health care is moving from being reactive to becoming preventive. Despite rapid developments of new technologies for molecular profiling and systems analysis of diseases, significant hurdles remain. Here, we use the clinical setting of congenital heart block (CHB) to uncover and illustrate key informatics challenges impeding the development of a systems medicine approach emphasizing the prevention and prediction of disease. We find that there is a paucity of useful bioinformatics tools enabling the integrative analysis of different databases of molecular information and clinical sources in a disease context such as CHB, contrasting with the current emphasis on developing bioinformatics tools for the analysis of individual data types. Moreover, informatics solutions for managing data, such as the Integrating Biology and the Bedside (i2b2) or Stanford Translational Research Integrated Database Environment, require serious software engineering support for the maintenance and import of data beyond the capabilities of clinicians working with CHB. Hence, there is an urgent unmet need for user-friendly tools facilitating the integrative analysis and management of omics data and clinical information. Pediatrics represents an untapped potential to execute such a systems medicine program in close collaboration with clinicians and families who are keen to do what is needed for their children to prevent and predict diseases and nurture wellness.

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Year:  2013        PMID: 23370412     DOI: 10.1038/pr.2013.19

Source DB:  PubMed          Journal:  Pediatr Res        ISSN: 0031-3998            Impact factor:   3.756


  2 in total

1.  Accelerating translational research by clinically driven development of an informatics platform--a case study.

Authors:  Imad Abugessaisa; Saedis Saevarsdottir; Giorgos Tsipras; Staffan Lindblad; Charlotta Sandin; Pernilla Nikamo; Mona Ståhle; Vivianne Malmström; Lars Klareskog; Jesper Tegnér
Journal:  PLoS One       Date:  2014-09-09       Impact factor: 3.240

Review 2.  A perspective on bridging scales and design of models using low-dimensional manifolds and data-driven model inference.

Authors:  Jesper Tegnér; Hector Zenil; Narsis A Kiani; Gordon Ball; David Gomez-Cabrero
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-11-13       Impact factor: 4.226

  2 in total

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