A multi-institution research team led by Dr. Stephen Badylak at the University of Pittsburgh will develop a device combining artificial intelligence, bioelectronics, and regenerative medicine to regrow muscle and surrounding soft tissue, especially after combat injuries. The team will engineer the Regenerative Electronic Platform through Advanced Intelligent Regulation (REPAIR) Patch, which will dramatically improve the speed and functional outcome of wound healing. The technologic basis of our approach is the use of a novel array of sensors and actuators, designed and controlled using computational models and embedded within an inductive cytocompatible extracellular matrix (ECM) hydrogel. The REPAIR Patch will be developed and tested in a canine model of volumetric muscle loss (VML). The REPAIR platform, which is flexible regarding geometry, time of application, and arrangement of its various modalities will decrease by 50% the time to functional healing of VML wounds by targeting two key rate-limiting steps in the default wound healing process: the immune phenotype of the wound environment and neurogenesis. REPAIR technology fundamentally changes the current empirical, reductionist approach to wound healing.
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