Despite this, or possibly exactly for this reason, cardiac regenerative therapy has been the focus of intense research synthesis efforts, with the publication of many systematic reviews and meta-analyses including basic research as well as human clinical studies.
Translational research that transfers novel results from basic research to clinical application often requires analyses in additional nonrodent models and/or large animal models that share specific pathophysiological characteristics with the human diseases in question.
Monitoring the bioelectrochemical activity of living cells with sensor array-based microsystems represents an emerging technique in a large area of biomedical applications, ranging from basic research to various fields of pharmacological analyses.
As of its last report (August 2014), GBIF has compiled 886 scientific papers that used GBIF-mediated data in analyses ranging from basic research to applications of biodiversity policy (http://www.gbif.org/mendeley/usecases); although surely some of those papers do not actually use GBIF-mediated data in analyses, the utility of the resource is clear.
Image and data analyses were conducted using NIS basic research software (Nikon, Japan).
In basic research, several studies have used inertial sensors to analyse the different kinematic variables that the gait can be decomposed [ 6, 8– 11].
Context: This research aimed at verifying the efficacy of homeopathic treatments by plant-based bioassays, which may be suitable for basic research, because they lack placebo effects and provide large datasets for statistical analyses.
In summary, MochiView was developed to solve problems we encountered in our basic research efforts, allowing us to integrate different types of genomic data and analyses in a single format where biological correlations and insights popped out from the screen.
This paper empirically analyses the relationship between the composition of industrial research labs' personnel, basic research and scientific disclosure capabilities.
The medical ontologies provide access to data in health care and medical knowledge while the biological ontologies enable access to findings from basic research in biology, and the integration of both types of ontologies has the potential to enable analyses that connect basic research with clinical applications and support the personalization of medical treatment.
