Preparation of Nanoparticles of AB2 Triblock Copolymers for Doxorubicin Delivery

Li, Y. L.; Chen, Y. T.; Nguyen, Van Cuong; Hsieh, Ming‐Fa

doi:10.1007/978-3-642-14515-5_315

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…In addition, chemotherapeutic drugs such as Paclitaxel, Docetaxel, and Doxorubicin feature prominently in this section. Such papers often intended to overcome multidrug resistance [29][30][31]. This was another strong topic, persistently appearing alongside the immunology topic when the model was rerun.…”

Section: Plos Onementioning

confidence: 99%

Exploratory mapping of tumor associated macrophage nanoparticle article abstracts using an eLDA topic modeling machine learning approach

Brown,

Bilynsky,

Gainey

et al. 2024

PLoS ONE

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The role of macrophages in regulating the tumor microenvironment has spurned the exponential generation of nanoparticle targeting technologies. With the large amount of literature and the speed at which it is generated it is difficult to remain current with the most up-to-date literature. In this study we performed a topic modeling analysis of 854 abstracts of peer-reviewed literature for the most common usages of nanoparticle targeting of tumor associated macrophages (TAMs) in solid tumors. The data spans 20 years of literature, providing a broad perspective of the nanoparticle strategies. Our topic model found 6 distinct topics: Immune and TAMs, Nanoparticles, Imaging, Gene Delivery and Exosomes, Vaccines, and Multi-modal Therapies. We also found distinct nanoparticle usage, tumor types, and therapeutic trends across these topics. Moreover, we established that the topic model could be used to assign new papers into the existing topics, thereby creating a Living Review. This type of “birds-eye-view” analysis provides a useful assessment tool for exploring new and emerging themes within a large field.

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Section: Plos Onementioning

confidence: 99%

Exploratory mapping of tumor associated macrophage nanoparticle article abstracts using an eLDA topic modeling machine learning approach

Brown,

Bilynsky,

Gainey

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…In addition, chemotherapeutic drugs such as Paclitaxel, Docetaxel, and Doxorubicin feature prominently in this section. Such papers intend to overcome multidrug resistance [28]- [30]. This was another strong topic, persistently appearing alongside the immunology topic when the model was rerun.…”

Section: Nanoparticlesmentioning

confidence: 99%

Meta-analysis of macrophage nanoparticle targeting across blood and solid tumors using an eLDA Topic modeling Machine Learning approach

Brown

Bilynsky

Gainey

et al. 2023

Preprint

View full text Add to dashboard Cite

The role of macrophages in regulating the tumor microenvironment has spurned the exponential generation of nanoparticle targeting technologies. With the large amount of literature and the speed at which it is generated it is difficult to remain current with the most up-to-date literature. In this study we performed a topic modeling analysis of the most common usages of nanoparticle targeting of macrophages in solid tumors. The data spans 20 years of literature, providing an extensive meta-analysis of the nanoparticle strategies. Our topic model found 6 distinct topics: Immune and TAMs, Nanoparticles, Imaging, Gene Delivery and Exosomes, Vaccines, and Multi-modal Therapies. We also found distinct nanoparticle usage, tumor types, and therapeutic trends across these topics. Moreover, we established that the topic model could be used to assign new papers into the existing topics, thereby creating a Living Review. This type of meta-analysis provides a useful assessment tool for aggregating data about a large field.

show abstract

Preparation of Nanoparticles of AB2 Triblock Copolymers for Doxorubicin Delivery

Cited by 2 publications

References 8 publications

Exploratory mapping of tumor associated macrophage nanoparticle article abstracts using an eLDA topic modeling machine learning approach

Exploratory mapping of tumor associated macrophage nanoparticle article abstracts using an eLDA topic modeling machine learning approach

Meta-analysis of macrophage nanoparticle targeting across blood and solid tumors using an eLDA Topic modeling Machine Learning approach

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