Systems Biology, Proteomics, and the Future of Health Care:  Toward Predictive, Preventative, and Personalized Medicine

2004 ◽  
Vol 3 (2) ◽  
pp. 179-196 ◽  
Author(s):  
Andrea D. Weston ◽  
Leroy Hood
2006 ◽  
Vol 7 (7) ◽  
pp. 1087-1094 ◽  
Author(s):  
Jan van der Greef ◽  
Thomas Hankemeier ◽  
Robert N McBurney

2017 ◽  
Vol 22 (43) ◽  
pp. 6560-6576 ◽  
Author(s):  
Luiz Goulart ◽  
Paula Santos ◽  
Ana Carneiro ◽  
Barbara Santana ◽  
Antonio Vallinoto ◽  
...  

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 1148 ◽  
Author(s):  
Eli Riekeberg ◽  
Robert Powers

Metabolomics is the newest addition to the “omics” disciplines and has shown rapid growth in its application to human health research because of fundamental advancements in measurement and analysis techniques. Metabolomics has unique and proven advantages in systems biology and biomarker discovery. The next generation of analysis techniques promises even richer and more complete analysis capabilities that will enable earlier clinical diagnosis, drug refinement, and personalized medicine. A review of current advancements in methodologies and statistical analysis that are enhancing and improving the performance of metabolomics is presented along with highlights of some recent successful applications.


2014 ◽  
Vol 9 (1) ◽  
pp. 9-12 ◽  
Author(s):  
Marguerite Ryan Irvin ◽  
Stella Aslibekyan ◽  
Bertha Hidalgo ◽  
Donna K Arnett

2012 ◽  
Vol 8 (9) ◽  
pp. 1149-1156 ◽  
Author(s):  
Maryam Rahman ◽  
Brian Hoh ◽  
Nathan Kohler ◽  
Erin M Dunbar ◽  
Gregory JA Murad

2021 ◽  
Vol 11 (2) ◽  
pp. 50-67
Author(s):  
Katerina G. Lourida ◽  
George E. Louridas

Systems biology is established as an integrative computational analysis methodology with practical and theoretical applications in clinical cardiology. The integration of genetic and molecular components of a disease produces interacting networks, modules and phenotypes with clinical applications in complex cardiovascular entities. With the holistic principle of systems biology, some of the features of complexity and natural progression of cardiac diseases are approached and explained. Two important interrelated holistic concepts of systems biology are described; the emerging field of personalized medicine and the constraint-based thinking with downward causation. Constraints in cardiovascular diseases embrace three scientific fields related to clinical cardiology: biological and medical constraints; constraints due to limitations of current technology; and constraints of general resources for better medical coverage. Systems healthcare and personalized medicine are connected to the related scientific fields of: ethics and legal status; data integration; taxonomic revisions; policy decisions; and organization of human genomic data.


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