Skip to content

Advertisement

Call for papers

NetMed Collection © via Pixabay, CC0 Creative CommonsAdvances in the field of network medicine and in complex networks theory allow for a more holistic approach to human health through the study of networks of genes and proteins, modules across cells and tissues, electronic health records, epidemiological and clinical data. Novel concepts and approaches derived from recent progress in network theory, dynamical systems, and computational biology, combined with the large-scale datasets produced from subcellular to social levels are promised to provide new insights into the complex processes involved in human physiology and diseases. This Special Issue focuses on bringing together novel network approaches applied to various biological and health-related datasets and will address the current challenges and bottlenecks towards future major advances by describing findings that can drive the implementation of translational network medicine.

The topics of this special issue include:

  • Biological networks and their applications in healthcare, aging and disease biology
  • Systems pharmacology and drug repurposing
  • Multi-omics / multilayer networks in medicine
  • Precision network medicine for personalized diagnostics and therapy
  • Network-based approaches for undiagnosed or rare diseases
  • Mobility, social network and electronic health record analysis for human well-being
  • Connected objects for health
  • Epidemiological data analysis and network dynamics
  • Network physiology and organ level network


Lead guest editor
Amitabh Sharma, Harvard Medical School, Boston USA
Guest editors
Marc Santolini, Northeastern University, Boston, USA 
Emre Guney, Institute for Biomedical Research, Barcelona, Spain

Articles will appear below as they are accepted.


2016 Journal Metrics

  • Speed
    31 days from submission to first decision
    25 days from acceptance to publication

    Usage 
    9,164 downloads
    418.0 Usage Factor

    Social Media Impact
    280 mentions

Institutional membership

Visit the membership page to check if your institution is a member and learn how you could save on article-processing charges (APCs).

Funding your APC

​​​​​​​Open access funding and policy support by SpringerOpen​​

​​​​We offer a free open access support service to make it easier for you to discover and apply for article-processing charge (APC) funding. Learn more here


Advertisement