Future studies will allow a deeper understanding of PBR in planarian, and the possible implications for regenerative therapies in human.
Successful integration of metabolomics with other "omics" studies will allow to effectively use the knowledge of metabolomics gained to generate stress-tolerant crops.
By the time of study completions, it can be expected that the joined information from all three studies will allow for a comprehensive appraisal of preventive treatment strategies and approaches in high-risk patients.
Collecting learning evidence via rigorous multidimensional and multidisciplinary case studies will allow us to better understand and improve the value of making and the role of the various digital and physical spaces.
It is hoped that this unique combination of translational studies will allow better insight into diseases such as Idiopathic Pulmonary Fibrosis, Scleroderma related Interstitial Lung Disease, and Sarcoidosis, with the ultimate goal of developing preventative or treatment strategies.
These studies will allow to evaluate the feasibility of acoustic particle detection with a future large volume detector.
These series of studies will allow us to look into the mechanisms how the microclimate changes with the time in the dynamic changes of environmental conditions.
"We believe integrating the information from these studies will allow us to better understand how HD develops and progresses," Chan says.
These studies will allow the selection of starter cultures, according to their metabolic and enzymatic activities, in order to conduct "tailored" fermentation process and improve brans or whole-meal flours from nutritional, functional and technological points of view.
Schiffman et al. recommended that future studies will allow for an improved taxonomic system based on signs and symptoms, and ultimately lead to a diagnostic system based on mechanism and etiology [13].
Information gained from sequenced genomes in crops, coupled with genetic association studies, will allow us to identify key genes/quantitative trait loci and networks that can lead to higher yielding crops that can grow in extreme conditions but with reduced environmental impact.
