A videographic assessment of ferrofluid during magnetic drug targeting: An application of artificial intelligence in nanomedicine

Forecasting the thresholds via the computational analysis of magnetic drug targeting, is a useful approach since it can help to design the nanoscale experiments to get the best results and efficiency. In such investigations, an artificial intelligence when interlinked with the computational techniques provide better insight specially for rheological problems. In the proposed model mathematical framework for the magnetic drug targeting is adopted while the flow of the ferrofluid, with different concentrations is taken into account. The flow without any obstruction is compared with the flow having obstruction. The nanoscale dynamics sensitive to such obstructions are documented by videographic footage. Nanaoscale approach and the response of the nanomedicine relative to external agents are used. The pressure gradient, the magnetic susceptibility and the velocity profile of the ferrofluid provides useful thresholds to identify the geometry of the obstacle, and to forecast the resulting dynamics.