ArticleFrontiers in robotics and AI2021
Soft Capsule Magnetic Millirobots for Region-Specific Drug Delivery in the Central Nervous System.
Article in Frontiers in robotics and AI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 26 citations in OpenAlex.
- Recent advances in engineering nano/microrobots for tumor treatment.Acta pharmaceutica Sinica. B · 2025Review
- Refillable silicone pump with precise switching for timed therapeutic delivery.Frontiers in bioengineering and biotechnology · 2025Article
- Recent Advances in 4D Printing: A Review of Current Smart Materials, Technologies, and Drug Delivery Systems.Current pharmaceutical design · 2025Review
- Wearable and Implantable Soft Robots.Chemical reviews · 2024Review
- Delivery of TGFβ3 from Magnetically Responsive Coaxial Fibers Reduces Spinal Cord Astrocyte Reactivity In Vitro.Advanced biology · 2024Article
- A magnetic multi-layer soft robot for on-demand targeted adhesion.Nature communications · 2024Article
- Magnetomorph: The Future of Targeted Drug Delivery.Current drug targets · 2024Article
- In Vivo Imaging of Naked and Microencapsulated Islet Cell Transplantation.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Smart and Multi-Functional Magnetic Nanoparticles for Cancer Treatment Applications: Clinical Challenges and Future Prospects.Nanomaterials (Basel, Switzerland) · 2022Review
- Emerging Treatments for Disorders of Consciousness in Paediatric Age.Brain sciences · 2022Article
- Parallel Multichannel Assessment of Rotationally Manipulated Magnetic Nanoparticles.Nanotechnology, science and applications · 2022Article
- Hemodynamics Challenges for the Navigation of Medical Microbots for the Treatment of CVDs.Materials (Basel, Switzerland) · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 8 institutions in 1 country.
Funding
Abstract
Small soft robotic systems are being explored for myriad applications in medicine. Specifically, magnetically actuated microrobots capable of remote manipulation hold significant potential for the targeted delivery of therapeutics and biologicals. Much of previous efforts on microrobotics have been dedicated to locomotion in aqueous environments and hard surfaces. However, our human bodies are made of dense biological tissues, requiring researchers to develop new microrobotics that can locomote atop tissue surfaces. Tumbling microrobots are a sub-category of these devices capable of walking on surfaces guided by rotating magnetic fields. Using microrobots to deliver payloads to specific regions of sensitive tissues is a primary goal of medical microrobots. Central nervous system (CNS) tissues are a prime candidate given their delicate structure and highly region-specific function. Here we demonstrate surface walking of soft alginate capsules capable of moving on top of a rat cortex and mouse spinal cord
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.