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Related Concept Videos

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Dissolution kinetics, an essential aspect of oral drug delivery, is significantly influenced by the drug's particle size. According to the Noyes-Whitney dissolution model, the dissolution rate correlates directly with the drug's surface area. The larger the surface area, the higher the drug's solubility in water, leading to a faster drug dissolution rate. Reducing particle size increases the effective surface area, enhancing the dissolution process. Micronization and nanosizing are...
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The selection of a drug's delivery route depends upon its physicochemical properties, including lipid or water solubility and ionization, as well as the therapeutic requirement, such as immediate or sustained effect. These routes can be divided into three primary categories: enteral, parenteral, and topical.
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Cell Squeezing as a Robust, Microfluidic Intracellular Delivery Platform
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Micro-nanorobots: important considerations when developing novel drug delivery platforms.

Ajay Vikram Singh1,2, Mohammad Hasan Dad Ansari3, Peter Laux2

  • 1Physical Intelligence Department, Max Planck Institute for Intelligent Systems , Stuttgart , Germany.

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|October 4, 2019
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Summary
This summary is machine-generated.

Bioinspired and biohybrid micro/nanorobots show promise for targeted drug delivery (TDD). Overcoming challenges in material compatibility, ethics, and control is key for clinical translation of these advanced nanomedicine systems.

Keywords:
MEMS/NEMSMicro/nanorobotsbiohybriddrug deliverymicroswimmer

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Area of Science:

  • Bio-nanotechnology
  • Material Science
  • Biohybrid Robotics

Background:

  • Growing emphasis on bioinspired and biohybrid micro/nanorobots for targeted drug delivery (TDD).
  • Stimuli-responsive materials and magnetically triggered systems are identified as promising paradigms.
  • A significant gap exists in the clinical translation of current micro/nanorobotic technologies.

Purpose of the Study:

  • Review opportunities and challenges in micro/nanorobotics for TDD.
  • Discuss material compatibility, immunogenicity, ethics, and security risks.
  • Highlight advancements in artificial intelligence (AI)/machine learning for nanorobotics.

Main Methods:

  • Review of evolutionary evidence in bio-nanotechnology, material science, and biohybrid robotics.
  • Analysis of literature on AI/machine learning applications.
  • Presentation of biohybrid component design strategies, including stimuli-responsive biosystems.

Main Results:

  • Biohybrid components offer versatility and sophistication, with stimuli-responsive biosystems acting as smart mechanisms.
  • On-board sensing and control elements are crucial for micro/nanoscale systems.
  • Key considerations include material compatibility, immunogenicity, ethics, and security risks.

Conclusions:

  • High controllability in micro/nanoscale systems for TDD requires biohybrid integration strategies and bioinspired competences.
  • Commercialization potential and economic viability are promising for clinical translation.
  • Further development is needed to bridge the gap between technological advances and clinical application.