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Definition: Magnetic nanoparticles (MNPs) have great potential in various areas such as medicine, cancer therapy and diagnostics, biosensing, and material science. In particular, magnetite (Fe3O4) nanoparticles are extensively used for numerous bioapplications due to their biocompatibility, high saturation magnetization, chemical stability, large surface area, and easy functionalization. This paper describes magnetic nanoparticle physical and biological properties, emphasizing synthesis approaches, toxicity, and various biomedical applications, focusing on the most recent advancements in the areas of therapy, diagnostics, theranostics, magnetic separation, and biosensing. [ABSTRACT FROM AUTHOR]

Many scientific and technological areas have benefited, in the last few decades, considerably from the introduction of nanomaterials especially the biomedical field. Despite the use of a myriad of drugs to diagnose and treat diseases, the dilemma is how to selectively target diseased cells while lessening collateral harmfulness to surrounding healthy tissues. Novel advances in theragnostics showed that nanoparticles (NPs), owing to their exceptional physicochemical properties, are an exceptional integrated platform for this purpose. This review paper first depicts nanoparticles in their general structural aspects and second, in their application in medicine (bioconjugation with drugs, cellular internalization, drug delivery and phagocytosis). [ABSTRACT FROM AUTHOR]

The purpose of this paper was to detect and separate the cluster intensity provided by Iron oxide nanoparticles (IO-NPs), in the MRI images, to investigate the drug delivery effectiveness. IO-NPs were attached to the macrophages and inserted into the eye of the inflamed mouse's calf. The low resolution of MRI and the tiny dimension of the IO-NPs made the situation challenging. IO-NPs serve as a marker, due to their strong intensity in the MRI, enabling us to follow the track of the macrophages. An image processing procedure was developed to estimate the position and the amount of IO-NPs spreading inside the inflamed mouse leg. A fuzzy Clustering algorithm was adopted to select the region of interest (ROI). A 3D model of the femoral region was used for the detection and then the extraction IO-NPs in the MRI images. The results achieved prove the effectiveness of the proposed method to improve the control process of targeted drug delivered. It helps in optimizing the treatment and opens a promising novel research axis for nanomedicine applications. [ABSTRACT FROM AUTHOR]