Translational Bioinformatics and Systems Biology in Personalized Medicine

2014 ◽  
pp. 229-258
Keyword(s):  
Systems Biology ◽  
Personalized Medicine ◽  
Translational Bioinformatics

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

scholarly journals A Systems Biology Approach for Personalized Medicine in Refractory Epilepsy

2019 ◽  
Vol 20 (15) ◽  
pp. 3717 ◽  
Author(s):  
Giuseppina Daniela Naimo ◽  
Maria Guarnaccia ◽  
Teresa Sprovieri ◽  
Carmine Ungaro ◽  
Francesca Luisa Conforti ◽  
...  
Keyword(s):  
Systems Biology ◽  
Personalized Medicine ◽  
Interindividual Variability ◽  
Refractory Epilepsy ◽  
Age Groups ◽  
Gene Mutations ◽  
Review Article ◽  
Specific Gene ◽  
Efficacy And Safety ◽  
Biological Mechanisms

Epilepsy refers to a common chronic neurological disorder that affects all age groups. Unfortunately, antiepileptic drugs are ineffective in about one-third of patients. The complex interindividual variability influences the response to drug treatment rendering the therapeutic failure one of the most relevant problems in clinical practice also for increased hospitalizations and healthcare costs. Recent advances in the genetics and neurobiology of epilepsies are laying the groundwork for a new personalized medicine, focused on the reversal or avoidance of the pathophysiological effects of specific gene mutations. This could lead to a significant improvement in the efficacy and safety of treatments for epilepsy, targeting the biological mechanisms responsible for epilepsy in each individual. In this review article, we focus on the mechanism of the epilepsy pharmacoresistance and highlight the use of a systems biology approach for personalized medicine in refractory epilepsy.

scholarly journals P17.84 * CANCER PROTEOMICS AND SYSTEMS BIOLOGY FOR PERSONALIZED MEDICINE

2014 ◽  
Vol 16 (suppl 2) ◽  
pp. ii107-ii107
Author(s):  
S. Souchelnytskyi ◽  
G. Stragliotto
Keyword(s):  
Systems Biology ◽  
Personalized Medicine ◽  
Cancer Proteomics

scholarly journals From Molecules to Patients: The Clinical Applications of Translational Bioinformatics

2015 ◽  
Vol 24 (01) ◽  
pp. 164-169 ◽  
Author(s):  
K. Regan ◽  
P.R.O. Payne
Keyword(s):  
Personalized Medicine ◽  
Knowledge Engineering ◽  
Social Issues ◽  
Clinical Applications ◽  
Future Research ◽  
Translational Bioinformatics ◽  
Clinical Implementation ◽  
Clinical Support ◽  
Three Stages ◽  
User Friendly

Summary Objective: In order to realize the promise of personalized medicine, Translational Bioinformatics (TBI) research will need to continue to address implementation issues across the clinical spectrum. In this review, we aim to evaluate the expanding field of TBI towards clinical applications, and define common themes and current gaps in order to motivate future research. Methods: Here we present the state-of-the-art of clinical implementation of TBI-based tools and resources. Our thematic analyses of a targeted literature search of recent TBI-related articles ranged across topics in genomics, data management, hypothesis generation, molecular epidemiology, diagnostics, therapeutics and personalized medicine. Results: Open areas of clinically-relevant TBI research identified in this review include developing data standards and best practices, publicly available resources, integrative systems-level approaches, user-friendly tools for clinical support, cloud computing solutions, emerging technologies and means to address pressing legal, ethical and social issues. Conclusions: There is a need for further research bridging the gap from foundational TBI-based theories and methodologies to clinical implementation. We have organized the topic themes presented in this review into four conceptual foci – domain analyses, knowledge engineering, computational architectures and computation methods alongside three stages of knowledge development in order to orient future TBI efforts to accelerate the goals of 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.

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