Logo image
Augmenting Surgery via Multi-scale Modeling and Translational Systems Biology in the Era of Precision Medicine: A Multidisciplinary Perspective
Journal article   Peer reviewed

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

Ghassan S Kassab, Gary An, Edward A Sander, Michael I Miga, Julius M Guccione, Songbai Ji and Yoram Vodovotz
Annals of biomedical engineering, Vol.44(9), pp.2611-2625
09/2016
DOI: 10.1007/s10439-016-1596-4
PMCID: PMC4983470
PMID: 27015816
url
http://doi.org/10.1007/s10439-016-1596-4View
Open Access

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.
Wound Healing Cardiac Surgical Procedures Wounds and Injuries Computer Simulation Humans Translational Medical Research Patient-Specific Modeling Precision Medicine

Details

Metrics

Logo image