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Ann Biomed Eng. 2016 Sep;44(9):2611-25. doi: 10.1007/s10439-016-1596-4. Epub 2016 Mar 25.

Augmenting Surgery via Multi-scale Modeling and Translational Systems Biology in the Era of Precision Medicine: A Multidisciplinary Perspective.

Author information

1
California Medical Innovations Institute, San Diego, CA, 92121, USA.
2
Department of Surgery, University of Chicago, Chicago, IL, 60637, USA.
3
Department of Biomedical Engineering, University of Iowa, Iowa City, IA, 52242, USA.
4
Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, 37235, USA.
5
Department of Surgery, University of California, San Francisco, CA, 94143, USA.
6
Thayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA.
7
Department of Surgery and of Orthopaedic Surgery, Geisel School of Medicine, Dartmouth College, Hanover, NH, 03755, USA.
8
Department of Surgery, University of Pittsburgh, W944 Starzl Biomedical Sciences Tower, 200 Lothrop St., Pittsburgh, PA, 15213, USA. vodovotzy@upmc.edu.
9
Center for Inflammation and Regenerative Modeling, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, 15219, USA. vodovotzy@upmc.edu.

Abstract

In this era of tremendous technological capabilities and increased focus on improving clinical outcomes, decreasing costs, and increasing precision, there is a need for a more quantitative approach to the field of surgery. Multiscale computational modeling has the potential to bridge the gap to the emerging paradigms of Precision Medicine and Translational Systems Biology, in which quantitative metrics and data guide patient care through improved stratification, diagnosis, and therapy. Achievements by multiple groups have demonstrated the potential for (1) multiscale computational modeling, at a biological level, of diseases treated with surgery and the surgical procedure process at the level of the individual and the population; along with (2) patient-specific, computationally-enabled surgical planning, delivery, and guidance and robotically-augmented manipulation. In this perspective article, we discuss these concepts, and cite emerging examples from the fields of trauma, wound healing, and cardiac surgery.

KEYWORDS:

Computer aided surgery; Computer-aided interventions; Heart; Inflammation; Mathematical model; Model-guided surgery; Multiscale model; Wound healing

PMID:
27015816
PMCID:
PMC4983470
DOI:
10.1007/s10439-016-1596-4
[Indexed for MEDLINE]
Free PMC Article

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