This scientific blog analyzes potential applications of drug response-efficacy biomarkers for predicting
future onset of drug therapy induced life-threatening diseases, such as
cardiovascular diseases, infectious diseases
and cancer. Enabling applications of drug response-efficacy biomarkers
for predicting drug-induced side effects may lead to the development of
“smart biomarkers”, which can reduce morbidity and mortality in
patients, and
can revolutionize personalized medicine approaches. In order to achieve this goal, we proposed a
model for the discovery of drug response-efficacy biomarkers and the translational
utilization of these biomarkers for personalized therapies. In an exploratory analysis, anti-TNF therapy
response markers of rheumatoid arthritis (RA) were analyzed, by intelligent data mining and
data analysis, to demonstrate that
these biomarkers may be potentially used for predicting the
risk in developing cardiovascular diseases (CVDs), like atherosclerosis, in RA
patients.
Please follow this link to read the blog:
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment