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. 2015 Feb 15;191(4):391-401.
doi: 10.1164/rccm.201410-1935PP.

Personalized respiratory medicine: exploring the horizon, addressing the issues. Summary of a BRN-AJRCCM workshop held in Barcelona on June 12, 2014

Affiliations

Personalized respiratory medicine: exploring the horizon, addressing the issues. Summary of a BRN-AJRCCM workshop held in Barcelona on June 12, 2014

Alvar Agustí et al. Am J Respir Crit Care Med. .

Abstract

This Pulmonary Perspective summarizes the content and main conclusions of an international workshop on personalized respiratory medicine coorganized by the Barcelona Respiratory Network ( www.brn.cat ) and the AJRCCM in June 2014. It discusses (1) its definition and historical, social, legal, and ethical aspects; (2) the view from different disciplines, including basic science, epidemiology, bioinformatics, and network/systems medicine; (3) the bottlenecks and opportunities identified by some currently ongoing projects; and (4) the implications for the individual, the healthcare system and the pharmaceutical industry. The authors hope that, although it is not a systematic review on the subject, this document can be a useful reference for researchers, clinicians, healthcare managers, policy-makers, and industry parties interested in personalized respiratory medicine.

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Figures

Figure 1.
Figure 1.
Temporal evolution of the understanding and management of human diseases. For further explanations, see text.
Figure 2.
Figure 2.
The “determinants of a phenotype” (the original concept of genes) include much more than DNA sequences and depend on the complex gene–environment relationships filtered and modulated by many biological networks. For further information, see text. Modified by permission from Reference .
Figure 3.
Figure 3.
Different levels of complexity (from molecules to networks, cells, organs, and whole body) targeted by different aspects of systems biology and network medicine. The spatial and dynamic scales that apply to each level are also shown. Reprinted by permission from Reference .
Figure 4.
Figure 4.
Knowledge engineering has the potential to overcome inter- and intradiscipline knowledge “silos.” Reprinted by permission from Reference .
Figure 5.
Figure 5.
Current and network medicine approaches to drug development for complex diseases. Reprinted by permission from Reference .
Figure 6.
Figure 6.
Personalized medicine as the convergence of three domains. For further explanations, see text. PM = personalized medicine.

References

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