A main goal of Precision Medicine is that of incorporating and integrating the vast corpora on
different databases about the molecular and environmental origins of disease, into analytic …

Success in precision medicine depends on accessing high-quality genetic and molecular
data from large, well-annotated patient cohorts that couple biological samples to …

Routinely collected data in hospital Electronic Medical Records (EMR) is rich and abundant
but often not linked or analysed for purposes other than direct patient care. We have created …

METHODS This work reviews main academic and industrial cloud-based bioinformatics
solutions developed in the recent years; moreover, it underlines main issues and problems …

METHODS For the past few years, there have been a few attempts at designing software
toolkits for medical simulation 1–4 Although our aim is identical, we propose a different …

Healthcare delivery systems are widely accepted as socio-technical systems. Unlike other
socio-technical systems, healthcare systems leave very little decision-making to technical …

Cancer research involves numerous disciplines. The multiplicity of data sources and their
heterogeneous nature render the integration and the exploration of the data more and more …

Applications for data analysis of biomedical data are complex programs and often consist of
multiple components. Re-usage of existing solutions from external code repositories or …

This special issue on precision medicine informatics flowed from the AMIA 2015
Translational Bioinformatics Summit theme of “Accelerating Precision Medicine” 1 and …

Medical devices in hospitals and other clinical settings are not yet networked with each
other. This leads to compartmentalization and siloing of information, false positive alarms …