Fast Parameter Identification for Personalized Pharmacokinetics

Drug dosingcan bemademore precise by using pharmacokineticand pharmacodynamicmodeling. Pharmacokinetics is thestudy of the concentration of drugs in tissueasafunction of timeand doseschedule,whereas pharmacodynamics is thestudy of therelationship between drugconcentration and drugeffect. By relating doseto resultant drugconcentration (pharmacokinetics)and concentration to effect (pharmacodynamics),amodel for drug dosingcan begenerated.We proposeto develop acomputational frameworkfor system identification of pharmacokineticmodels,where we will usecompartmental dynamical systemsasageneral frameworkto model pharmacokinetics. A constrained optimization problem is formulated to find optimal parameters of thecompartmental model. A GPU-based numerical solver will be used to solvetheconstrained optimization problem.