  The occurrence of in-stent restenosis following percutaneous coronary
intervention highlights the need for the creation of computational tools that
can extract pathophysiological insights and optimize interventional procedures
on a patient-specific basis. In light of this, a comprehensive framework
encompassing multiple physical phenomena is introduced in this work. This
framework effectively captures the intricate interplay of chemical, mechanical,
and biological factors. In addition, computational approaches for the
extraction of hemodynamic indicators that modulate the severity of the
restenotic process are devised. Thus, this marks a significant stride towards
facilitating computer-assisted clinical methodologies.
