Investigations on Modeling Behavior and Organization of Gene Therapy for Regenerative Medicine

摘要

Regenerative medicine is an exciting new field that seeks to understand how the body heals under normal conditions, then harness and amplify that process when and where it is needed most. Its treatments promote the growth of natural tissues or replicate the functions of those tissues to treat injuries and diseases that have not yet been conquered by traditional medicine. It brings together biology, medicine, genetics, engineering, chemistry, robotics, computer science, and other fields to develop artificial organs, specially grown tissues and cells (including stem cells), laboratory-made compounds, and combinations of these approaches. The development of scalable systems constitutes one-step toward understanding the dynamics of its potential. A primary goal of this work is to develop a computer model that will support investigations on behavior and organization of regenerative tissues including genetically modified cells. A better understanding of the molecular controls of these processes may yield information about diseases and suggest new strategies for therapy. A significant hurdle to this use and most uses of stem cells is that scientists do not yet fully understand the process, and the inherent behavioral, developmental, biochemical and molecular features of cells which is capable of regeneration are poorly characterized, making their identification, quantification and isolation unreliable.