Enhancing Simulations of Superparamagnetic Magnetic Drug Delivery to Predict Efficacy of Treatment

Globally, leukemia and skin cancers are the most common types of cancers. However, current measures (radiation, chemotherapy, etc.) cannot exercise high accuracy when targeting such tumors cancers, causing extensive damage to surrounding tissue leading adverse effects commonly associated with treatments as chemotherapy. Magnetic drug delivery applies anticancer nanoparticles a component vehicle for charged, targeted treatment. Building upon prior research, stochastic numerical model was enhanced simulate motion superparamagnetic cluster suspended in different flow while being guided by an external magnet travel target. The supplanted assumed Carreau blood realistic Hagen-Poiseuille under influence magnetic field. specific application clusters is targeting, range 10–200 nm radii. Using dipole close surface skin, time arrival at target calculated through physics-informed neural network defining pathway clusters. Variations release position, background flow, field strength, number clusters, assessed see how they affect capture rate. rate found depend weakly on variations velocity profile, strongly size, moment, distance between vessel wall. validated existing data good agreement experimental results shown