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Systems Medicine

Guest Editor: Dimiter Dimitrov MD, PhD

BMC Systems Biology invites you to submit to our new thematic series: Systems Medicine.

The thematic series on ‘Systems Medicine’ will review and feature applied translational research from biological mechanisms via the use of methods ranging from omics-based science, systems biology, bioinformatics and network theory to clinical practice, digital and mobile health. ​​

Futuristic tablet computerIn this respect, this thematic series on ‘Systems Medicine’ is closely related to personalized, stratified or precision medicine in that it is the approach that involves the tailoring of prevention, diagnosis and treatment, based on individual patient characteristics. 

The series will promote a set of translational practices intended to apply medical informatics tools – such as electronic decision support and patient-collected data – to improve patient care, usually with the secondary aim of making this data accessible for research and for the practical utilization of the patients. We will share a strong focus on the use of information (ICT) technologies and big data for the purposes of medical science or clinical care. Guest Editor Dimiter Dimitrov talks more about the ideas behind the series here.

We are seeking submissions of original research articles (including systematic reviews and meta-analyses), but also methodology, software and database articles. This collection in BMC Systems Biology will also include invited reviews.

We would welcome direct submission of any original research you would like to be considered. Please submit directly to BMC Systems Biology stating in your cover letter that you are targeting the 'Systems Medicine' collection. Alternatively you can email your pre-submission queries to alexandros.houssein@biomedcentral.com

The deadline for submission of manuscripts is 15th December 2017

  1. Content type: Research Article

    One goal of personalized medicine is leveraging the emerging tools of data science to guide medical decision-making. Achieving this using disparate data sources is most daunting for polygenic traits. To this e...

    Authors: Cihan Oguz, Shurjo K. Sen, Adam R. Davis, Yi-Ping Fu, Christopher J. O’Donnell and Gary H. Gibbons

    Citation: BMC Systems Biology 2017 11:99

    Published on:

  2. Content type: Research Article

    Translating in vitro results to clinical tests is a major challenge in systems biology. Here we present a new Multi-Task learning framework which integrates thousands of cell line expression experiments to rec...

    Authors: Matthew Ruffalo, Petar Stojanov, Venkata Krishna Pillutla, Rohan Varma and Ziv Bar-Joseph

    Citation: BMC Systems Biology 2017 11:96

    Published on:

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