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Philip Grossen

Researcher at University of Basel

Publications -  11
Citations -  777

Philip Grossen is an academic researcher from University of Basel. The author has contributed to research in topics: Drug delivery & Genetic enhancement. The author has an hindex of 9, co-authored 10 publications receiving 509 citations.

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PEG-PCL-based nanomedicines: A biodegradable drug delivery system and its application.

TL;DR: This review discusses state‐of‐the‐art nanomedicines based on PEG‐PCL that have been investigated in a preclinical setting and highlights recent therapeutic applications investigated in vitro and in vivo using advanced systems such as triggered release, multi‐component therapies, theranostics, or gene delivery systems.
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Lipid-Based DNA Therapeutics: Hallmarks of Non-Viral Gene Delivery.

TL;DR: A review of lipid-based DNA delivery systems can be found in this article, where the authors discuss state-of-the-art lipid based DNA delivery system that have been investigated in a preclinical setting.
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Zebrafish as a preclinical in vivo screening model for nanomedicines

TL;DR: Several advantageous features of the zebrafish model, such as biological conservation, imaging modalities, availability of genetic tools and disease models, as well as their various applications in nanomedicine development, are outlined.
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Zebrafish as an early stage screening tool to study the systemic circulation of nanoparticulate drug delivery systems in vivo

TL;DR: The findings indicate that the zebrafish model is a useful vertebrate screening tool for nanoparticulate drug delivery systems to predict their in vivo circulation behavior with respect to systemic circulation time and exposure.
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Zebrafish as a predictive screening model to assess macrophage clearance of liposomes in vivo.

TL;DR: Zebrafish embryos are validated as an emerging vertebrate screening tool to assess the macrophage sequestration of surface modified particulate formulations with varying particle size under realistic biological conditions and a strategy for efficient, systematic and rapid nanomedicine optimization is presented in order to facilitate the preclinical development of nanotherapeutics.