scholarly journals Constraints in Clinical Cardiology and Personalized Medicine: Interrelated Concepts in Clinical Cardiology

2021 ◽  
Vol 11 (2) ◽  
pp. 50-67
Author(s):  
Katerina G. Lourida ◽  
George E. Louridas
Keyword(s):  
Systems Biology ◽  
Personalized Medicine ◽  
Legal Status ◽  
Clinical Cardiology ◽  
Natural Progression ◽  
Interacting Networks ◽  
Status Data ◽  
Molecular Components ◽  
And Personalized Medicine ◽  
Scientific Fields

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.

Metabolomics-based systems biology and personalized medicine: moving towards n = 1 clinical trials?

2006 ◽  
Vol 7 (7) ◽  
pp. 1087-1094 ◽  
Author(s):  
Jan van der Greef ◽  
Thomas Hankemeier ◽  
Robert N McBurney
Keyword(s):  
Clinical Trials ◽  
Systems Biology ◽  
Personalized Medicine ◽  
And Personalized Medicine

Unraveling Antibody Display: Systems Biology and Personalized Medicine

2017 ◽  
Vol 22 (43) ◽  
pp. 6560-6576 ◽  
Author(s):  
Luiz Goulart ◽  
Paula Santos ◽  
Ana Carneiro ◽  
Barbara Santana ◽  
Antonio Vallinoto ◽  
...  
Keyword(s):  
Systems Biology ◽  
Personalized Medicine ◽  
Display Systems ◽  
And Personalized Medicine

scholarly journals New frontiers in metabolomics: from measurement to insight

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 1148 ◽  
Author(s):  
Eli Riekeberg ◽  
Robert Powers
Keyword(s):  
Statistical Analysis ◽  
Systems Biology ◽  
Personalized Medicine ◽  
Rapid Growth ◽  
Health Research ◽  
Biomarker Discovery ◽  
Complete Analysis ◽  
Analysis Techniques ◽  
Measurement And Analysis ◽  
And Personalized Medicine

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.

Ethics and Privacy Considerations for Systems Biology Applications in Predictive and Personalized Medicine

2013 ◽  
pp. 1378-1404
Author(s):  
Jake Y. Chen ◽  
Heng Xu ◽  
Pan Shi ◽  
Adam Culbertson ◽  
Eric M. Meslin
Keyword(s):  
Systems Biology ◽  
Personalized Medicine ◽  
Genetic Data ◽  
Research Trends ◽  
Integrative Analysis ◽  
Omics Data ◽  
Patient Privacy ◽  
Social Perspectives ◽  
The Right ◽  
And Personalized Medicine

Integrative analysis and modeling of the omics data using systems biology have led to growing interests in the development of predictive and personalized medicine. Personalized medicine enables future physicians to prescribe the right drug to the right patient at the right dosage, by helping them link each patient’s genotype to their specific disease conditions. This chapter shares technological, ethical, and social perspectives on emerging personalized medicine applications. First, it examines the history and research trends of pharmacogenomics, systems biology, and personalized medicine. Next, it presents bioethical concerns that arise from dealing with the increasing accumulation of biological samples in many biobanking projects today. Lastly, the chapter describes growing concerns over patient privacy when large amount of individuals’ genetic data and clinical data are managed electronically and accessible online.

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