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Multimodal Dynamic Profiling of Healthy and Diseased States for Future Personalized Health Care
Author(s) -
Mias G I,
Snyder M
Publication year - 2013
Publication title -
clinical pharmacology and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.941
H-Index - 188
eISSN - 1532-6535
pISSN - 0009-9236
DOI - 10.1038/clpt.2012.204
Subject(s) - personalized medicine , profiling (computer programming) , clinical pharmacology , precision medicine , systems pharmacology , medicine , computational biology , systems biology , health care , bioinformatics , data science , computer science , pharmacology , biology , drug , pathology , economics , operating system , economic growth
Personalized medicine is rapidly emerging as the future direction in the post–genome sequencing era. Early applications have concentrated on variant‐based assessment of individual disease risks. Technological advances and dropping costs now allow for expanding the domain of personalized medicine to include multimodal and dynamic monitoring of individuals (including transcriptomic, proteomic, and metabolomic longitudinal profiling). Such efforts may lead to effective diagnostic and precise monitoring tools that can be applied in a clinical setting. Clinical Pharmacology & Therapeutics (2013); 93 1, 29–32. doi: 10.1038/clpt.2012.204