Learn More
In this paper, we propose a scheme to improve the performance of subspace learning by using a pat-tern(data) selection method as preprocessing. Generally , a training set for subspace learning contains irrelevant or unreliable samples, and removing these samples can improve the learning performance. For this purpose, we use pattern selection preprocessing(More)
Recently, various nanoparticle systems have been developed for tumor-targeted delivery of imaging agents or drugs. However, large amount of them still have insufficient tumor accumulation and this limits their further clinical applications. Moreover, the in vivo characteristics of nanoparticles have been largely unknown, because there are few proper(More)
Since computed tomography (CT) was developed and its resolution, sensitivity, and scan speed rapidly improved, the use of CT in the diagnosis of hepatic disease has been evaluated by various investigators. [1] In particular, liver-specific X-ray CT imaging has attracted much attention in cancer diagnosis and cancer treatment because liver metastases are a(More)
Colon cancer is the second leading cause of cancer-related death in the United States. The considerable mortality from colon cancer is due to metastasis to other organs, mainly the liver. In the management of colon cancer, early detection and targeted therapy are crucial. In this study, we aimed to establish a versatile theranostic system for early tumor(More)
To evaluate the tumor targeting efficiency of self-assembled polymeric nanoparticles, four glycol chitosan nanoparticles (CNPs) with different degrees of hydrophobic substitution were prepared by coupling 7.5, 12, 23, and 35 wt.% of 5β-cholanic acid to hydrophilic glycol chitosan polymer (GC). The sizes and zeta-potentials of different CNPs in aqueous(More)
An efficient and straightforward method for radiolabeling nanoparticles is urgently needed to understand the in vivo biodistribution of nanoparticles. Herein, we investigated a facile and highly efficient strategy to prepare radiolabeled glycol chitosan nanoparticles with (64)Cu via a strain-promoted azide-alkyne cycloaddition strategy, which is often(More)
Among the classical collagenases, matrix metalloproteinase-13 (called MMP-13, collagenase-3) is one of the most important components for cartilage destruction of osteoarthritis (OA) developments. Despite many efforts, the detection methods of MMP-13 activity have been met with limited success in vivo, in part, due to the low sensitivity and low selectivity(More)
The purpose of this study is to determine the correlation between the distribution of nanoparticles in the vitreous and retina and their surface properties after intravitreal injection. For this purpose, we synthesized seven kinds of nanoparticles through self-assembly of amphiphilic polymer conjugates in aqueous condition. They showed similar size but(More)