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Related Concept Videos

MicroRNAs01:22

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA ends...

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Bioinspired Soft Robot with Incorporated Microelectrodes
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Published on: February 28, 2020

Embodied Cross-Domain Intelligence in Biomedical Microrobots: A Review.

Zongcai Tan1, Lan Wei1, Kangyi Lu1

  • 1Department of Bioengineering, Imperial-X AI Initiative, Imperial College London W12 0BZ, London, UK.

Cyborg and Bionic Systems (Washington, D.C.)
|May 18, 2026
PubMed
Summary
This summary is machine-generated.

This review introduces embodied cross-domain intelligence, a novel framework for microrobots. It synergistically combines physical, biological, computational, and human intelligence for advanced biomedical applications.

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Area of Science:

  • Biomedical Engineering
  • Robotics
  • Artificial Intelligence

Background:

  • Microrobots offer transformative potential in diagnostics, therapy, and surgery.
  • Current microrobots lack the adaptive capabilities needed for complex biological environments.
  • Existing research often addresses intelligence domains in isolation.

Purpose of the Study:

  • To introduce a unified framework of embodied cross-domain intelligence for microrobots.
  • To outline principles, advances, and limitations of physical, biological, computational, and human intelligence in microrobotics.
  • To analyze interfaces for synergistic coupling and map combinations to biomedical applications.

Main Methods:

  • Review and synthesis of existing literature on different intelligence domains.
  • Analysis of inter-domain interfaces and synergistic potential.
  • Mapping of intelligence domain combinations to specific biomedical tasks.

Main Results:

  • A framework for synergistic coupling of diverse intelligence domains is presented.
  • Identification of key challenges in integration, control, safety, and validation.
  • Outline of future research directions for clinical translation.

Conclusions:

  • Embodied cross-domain intelligence enables multifunctional, collaborative, and adaptive microrobotic behavior.
  • Framing microrobot development as a cross-domain synergy challenge is crucial.
  • This approach guides interdisciplinary efforts for complex, multistage biomedical tasks.