Statistical pitfalls of personalized medicine

Personalized Medicine: Promises and Pitfalls

The US Food and Drug Administration (FDA) describes personalized medicine as “the right patient with the right drug at the right dose at the right time,” and it certainly is a timely and emerging medical practice. Personalized Medicine: Promises and Pitfalls, by Gloria Gronowicz, begins with a unique perspective: the author’s own personal anecdote about the very day she was diagnosed with stage...

Statistical Analysis of Biomarkers for Personalized Medicine

Recently there has been enhanced and advanced biomedical technology such as high-throughput microarrays and molecular imaging to monitor SNPs, gene and protein expressions, and so forth, to provide exhaustive situations for individuals. In principle we could get much more information to know the biological and medical status from such data sets, which are viewed as biomarkers in a wide sense to...

The Tomorrow's Personalized Medicine - The Killer of Today's Statistical Medicine.

Perspectives of personalized medicine in traditional persian medicine

The approach of personalized medicine has received a great deal of attention over the last century, emphasizing attention to the patient rather than the disease. Personalized medicine tries to plan the patient's condition and treatment method by considering the culture, personal preferences and experiences and health beliefs of the person as well as the values and lifestyle of the person, and e...

Role of Statistical Random-Effects Linear Models in Personalized Medicine

Some empirical studies and recent developments in pharmacokinetic theory suggest that statistical random-effects linear models are valuable tools that allow describing simultaneously patient populations as a whole and patients as individuals. This remarkable characteristic indicates that these models may be useful in the development of personalized medicine, which aims at finding treatment regi...