부산대학교 도서관

A central goal of industrialized nations is to provide personalized, pre-emptive and predictive medicine, while maintaining healthcare costs at a minimum. To do so, we must confront and gain an understanding of inflammation, a complex, nonlinear process central to many diseases that affect both industrialized and developing nations. Herein, we describe the work aimed at creating a rational, engineering-oriented and evidence-based synthesis of inflammation geared towards rapid clinical application. This comprehensive approach, which we call 'Translational Systems Biology', to date has been utilized for in silico studies of sepsis, trauma/hemorrhage/traumatic brain injury, acute liver failure and wound healing. This framework has now allowed us to suggest how to modulate acute inflammation in a rational and individually optimized fashion using engineering principles applied to a biohybrid device. We suggest that we are on the cusp of fulfilling the promise of in silico modeling for personalized medicine for inflammatory disease.
Author(s): Qi Mi [sup.1] [sup.2] , Nicole Yee-Key Li [sup.1] [sup.3] , Cordelia Ziraldo [sup.1] [sup.4] , Ali Ghuma [sup.1] [sup.5] , Maxim Mikheev [sup.1] [sup.5] , Robert Squires [sup.6] [...]