Computational Designing in Nanomedicine

There are several obstacles in the way of developing efficient anticancer medications utilizing nanoparticles, mostly linked to transport systems. In order to investigate a variety of nanoparticle design options, this chapter promotes the practical use of in silico techniques, including machine learning methods. The selection of nanoparticles with precise drug transport capabilities can be made possible by utilizing these technologies to expedite the usual trial-and-error design techniques. The chapter also suggests systematic prototyping using in silico modeling, in which the behavior of nanoparticles in biological systems is simulated by computer programs. The future of nanomedicine is envisioned as moving toward personalized treatment, with nanoparticles tailored to meet the specific requirements of individual patients.