Resistance to therapies is a significant challenge in successful treatment of cancers. Frequently, this resistance arises from subtle genetic variations within individual malignant cells that evade therapy and subsequently multiply. In this endeavor, we aim to employ image processing tools to assess the behavior of these resilient clones using microscopy images provided by our collaborator at Northwestern University. Our ultimate goal is to construct a computational model integrating principles from tissue mechanics and systems biology to elucidate the growth dynamics of distinct surviving colonies and their eventual interactions.
UG Project Type
BTP
SLP
Name of Faculty