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Nanomedicine
About: Nanomedicine is a research topic. Over the lifetime, 4287 publications have been published within this topic receiving 200647 citations.
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25 Feb 2019
TL;DR: The role that AI can have in substantially improving nanomedicine-based treatment outcomes, particularly in the context of combination nanotherapy for both N-of-1 and population-optimized treatment is examined.
Abstract: The field of nanomedicine has made substantial strides in the areas of therapeutic and diagnostic development. For example, nanoparticle-modified drug compounds and imaging agents have resulted in markedly enhanced treatment outcomes and contrast efficiency. In recent years, investigational nanomedicine platforms have also been taken into the clinic, with regulatory approval for Abraxane® and other products being awarded. As the nanomedicine field has continued to evolve, multifunctional approaches have been explored to simultaneously integrate therapeutic and diagnostic agents onto a single particle, or deliver multiple nanomedicine-functionalized therapies in unison. Similar to the objectives of conventional combination therapy, these strategies may further improve treatment outcomes through targeted, multi-agent delivery that preserves drug synergy. Also, similar to conventional/unmodified combination therapy, nanomedicine-based drug delivery is often explored at fixed doses. A persistent challenge in all forms of drug administration is that drug synergy is time-dependent, dose-dependent and patient-specific at any given point of treatment. To overcome this challenge, the evolution towards nanomedicine-mediated co-delivery of multiple therapies has made the potential of interfacing artificial intelligence (AI) with nanomedicine to sustain optimization in combinatorial nanotherapy a reality. Specifically, optimizing drug and dose parameters in combinatorial nanomedicine administration is a specific area where AI can actionably realize the full potential of nanomedicine. To this end, this review will examine the role that AI can have in substantially improving nanomedicine-based treatment outcomes, particularly in the context of combination nanotherapy for both N-of-1 and population-optimized treatment.
70 citations
TL;DR: This special issue of Nanomedicine presents readers with current exciting developments in the use of nanoparticles and nanopatterns for biomedical diagnosis and drug delivery.
70 citations
TL;DR: A broad spectrum of nanomedicinal approaches to eradicate neurodegenerative disorders is provided, along with a brief account of neuroprotection and neuronal tissue regeneration, current clinical status, issues related to safety, toxicity, challenges, and future outlook.
70 citations
King Abdullah University of Science and Technology1, University of Duisburg-Essen2, Aix-Marseille University3, Lawrence Berkeley National Laboratory4, University of Tübingen5, Catalan Institution for Research and Advanced Studies6, Heidelberg University7, AREA Science Park8, Agency for Science, Technology and Research9
TL;DR: In this article, the authors present a roadmap for nanomedicine based on the contributions of ten groups worldwide, which contains different techniques, methods and materials devoted to sensing in nanomedical applications.
Abstract: This roadmap, through the contributions of ten groups worldwide, contains different techniques,
methods and materials devoted to sensing in nanomedicine. Optics is used in different ways in
the detection schemes. Raman, fluorescence and infrared spectroscopies, plasmonics, second
harmonic generation and optical tweezers are all used in applications from single molecule
detection (both in highly diluted and in highly concentrated solutions) to single cell
manipulation. In general, each optical scheme, through device miniaturization and
electromagnetic field localization, exploits an intrinsic optical enhancement mechanism in order
to increase the sensitivity and selectivity of the device with respect to the complex molecular
construct. The materials used for detection include nanoparticles and nanostructures fabricated
with different 2D and 3D lithographic methods. It is shown that sensitivity to a single molecule is
already accessible whether the system under study is a single cell or a multitude of cells in a
molecular mixture. Throughout the roadm
70 citations
24 Nov 2017
TL;DR: It is clear that malignant human brain cancers cells and tissues have gradually transformed to benign human brain cancer cells and tissue under synchrotron radiation with the passage of time.
Abstract: Published by Madridge Publishers In the current study, first, we have experimentally presented therapeutic nanomedicine different high–resolution experimental images for human brain cancer cells and tissues using nanocarriers deliver DNA/RNA to brain tumors under synchrotron radiation with the passage of time (Figure 1) [1-101]. Also, different computational simulations of human brain cancer cells and tissues translational Nano drugs delivery treatment process under synchrotron radiation with the passage of time was computationally investigated using Mathematica and MATLAB (Figure (2) [1-101]. It is clear that malignant human brain cancer cells and tissues have gradually transformed to benign human brain cancer cells and tissues under synchrotron radiation with the passage of time (Figures 1 and 2)) [1-101].
70 citations