Background The use of the knowledge produced by sciences to promote human health is
the main goal of translational medicine. To make it feasible we need computational methods …

The Unified Medical Language System (UMLS) is the largest thesaurus in the biomedical
informatics domain. Previous works have shown that knowledge constructs comprised of …

The ability to generate hypotheses based upon the contents of large-scale, heterogeneous
data sets is critical to the design of translational clinical studies. In previous reports, we have …

Background Given the rapid growth of translational research and personalized healthcare
paradigms, the ability to relate and reason upon networks of bio-molecular and phenotypic …

In the past scientists reported summaries of their findings; they did not provide their original
data collections. Many stakeholders (eg, funding agencies) are now requesting that such …

Investigators in the translational research and systems medicine domains require highly
usable, efficient and integrative tools and methods that allow for the navigation of and …

The conduct of large-scale translational studies presents significant challenges related to
the storage, management and analysis of integrative data sets. Ideally, the application of …

Effective diabetes research relies on pattern recognition. Although information technology
(IT) has been used to aid researchers in recognizing patterns, there are still barriers to …

As has been introduced in the preceding chapters, the biomedical and life sciences domains
have experienced explosive growth in terms of the volume and complexity of data sets …

This work presents a fully integrated polar modulated CMOS class-E amplifier in a 0.18¿ m
CMOS process. The amplifier using the device-stacking topology is implemented with a self …