TY - JOUR
T1 - Computational medicine
T2 - Translating models to clinical care
AU - Winslow, Rai
AU - Trayanova, Natalia
AU - Geman, Donald
AU - Miller, Michael I.
PY - 2012/10/31
Y1 - 2012/10/31
N2 - Because of the inherent complexity of coupled nonlinear biological systems, the development of computational models is necessary for achieving a quantitative understanding of their structure and function in health and disease. Statistical learning is applied to high-dimensional biomolecular data to create models that describe relationships between molecules and networks. Multiscale modeling links networks to cells, organs, and organ systems. Computational approaches are used to characterize anatomic shape and its variations in health and disease. In each case, the purposes of modeling are to capture all that we know about disease and to develop improved therapies tailored to the needs of individuals. We discuss advances in computational medicine, with specific examples in the fields of cancer, diabetes, cardiology, and neurology. Advances in translating these computational methods to the clinic are described, as well as challenges in applying models for improving patient health.
AB - Because of the inherent complexity of coupled nonlinear biological systems, the development of computational models is necessary for achieving a quantitative understanding of their structure and function in health and disease. Statistical learning is applied to high-dimensional biomolecular data to create models that describe relationships between molecules and networks. Multiscale modeling links networks to cells, organs, and organ systems. Computational approaches are used to characterize anatomic shape and its variations in health and disease. In each case, the purposes of modeling are to capture all that we know about disease and to develop improved therapies tailored to the needs of individuals. We discuss advances in computational medicine, with specific examples in the fields of cancer, diabetes, cardiology, and neurology. Advances in translating these computational methods to the clinic are described, as well as challenges in applying models for improving patient health.
UR - http://www.scopus.com/inward/record.url?scp=84868281562&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84868281562&partnerID=8YFLogxK
U2 - 10.1126/scitranslmed.3003528
DO - 10.1126/scitranslmed.3003528
M3 - Review article
C2 - 23115356
AN - SCOPUS:84868281562
SN - 1946-6234
VL - 4
JO - Science translational medicine
JF - Science translational medicine
IS - 158
M1 - 158rv11
ER -