Reviewing multiple aspects of medicine delivery for brain tumor’s, including the recent applications of artificial intelligence to medication and diagnosis

Abstract

In order to improve drug delivery methods for brain tumors, specifically glioblastoma multiforme (GBM), this study investigates the combination of artificial intelligence (AI) with nanomedicine. Because of their rapid growth, resistance to traditional treatments, and the challenge of getting medications over the blood–brain barrier, brain tumors continue to rank among the most complicated and deadly illnesses. The paper emphasizes how AI may be used to predict medication permeability, optimize nanocarrier design, increase diagnostic accuracy, and customize treatment plans. Additionally, it highlights the importance of prognosis monitoring, early biomarker discovery, and innovative computational techniques that improve the accuracy of brain tumor treatment. AI-driven nanomedicine presents new avenues for more efficient, tailored, and minimally invasive treatments, even while traditional therapies like surgery, radiation, and chemotherapy have drawbacks. Additionally, as discussed in future prospects, current innovation uses artificial intelligence for achieving the highest rate of success in medication research.

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