期刊
ANNALS OF BIOMEDICAL ENGINEERING
卷 44, 期 9, 页码 2611-2625出版社
SPRINGER
DOI: 10.1007/s10439-016-1596-4
关键词
Computer aided surgery; Computer-aided interventions; Model-guided surgery; Mathematical model; Multiscale model; Inflammation; Wound healing; Heart
资金
- National Institutes of Health [P50-GM-5378, UO1-DK-072146, RO1-GM-107231-01A1, RO1-GM-115839-01, P30-DK-42086, R01-HL-118627, U01-HL-119578, R01-HL-077921, R01-NS-049251, R21-NS-087796, R01-CA-162477, R01-NS-092853, R21-NS-078607]
- Department of Defense [W911QY-14-1-0003, W81XWH-14-DMRDP-CRMRP-RTRA]
- National Institute on Disability Rehabilitation Research [H133E070024]
- Shared University Research Award from IBM, Inc.
- National Science Foundation [CAREER CMMI 1452728]
- Dartmouth Clinical and Translational Science Institute from National Center for Advancing Translational Sciences of NIH [KL2-TR-001088]
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.
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