| dc.description.abstract | The development and advancements in technology, artificial intelligence,
and fields of bioinformatics, enabled the use of enormous data coming
from genes, transcripts, and proteins processed by the omics in medicine
as biomarkers. Scientists are improving different methods, such as stemcell therapies, applications of regenerative medicine, and enhanced drug
interactions in personalized medicine, using omics technologies in a
broad scope of biology. Thus, the omics can discern functions of
individual genes, proteins, and metabolites; to evaluate drug effects of
drugs made or derived from such substances; and analyze differences in
cellular pathways that occur from these drugs. The combined use of
omics with system biology in regenerative medicine research, and
pharmacology fields increases the information regarding concealed
molecular mechanisms of diseases, their potential therapies, and
personalized applications of stem-cell applications. Improved
characterization of living systems along with a detailed evaluation of
clinical and pharmacological data are required aspects for the further
development of studies containing multiple omics methodologies. The
application of data mining on the present data from the literature would
enable to obtain experimental evidence in a cost-effective manner by
reducing the prior experimental research. Metabolomics pharmacology serves to attain personalization in medicinal treatments to
preserve health and prevent diseases. Different branches of omics, such
as metabolomics, transcriptomics, proteomics, and toxicogenomics,
would lead to improved and easier use of pharmacometabolites in
treatment protocols. | tr |
