ReviewJournal of biological engineering2020
Machine intelligence for nerve conduit design and production.
Review in Journal of biological engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.
- Applications of artificial intelligence in peripheral neurosurgery: a systematic review.Neurosurgical review · 2026Pooled it
- Systematic review of the therapeutic use of Schwann cells in the repair of peripheral nerve injuries: Advancements from animal studies to clinical trials.Frontiers in cellular neuroscience · 2022Pooled it
- Artificial intelligence and peripheral neuropathies: Strategies for the development, application, and repair of regenerative biomaterials.Neural regeneration research · 2026Article
- Multiscale biomimetic design for peripheral nerve repair: Beyond passive bridging.Materials today. Bio · 2026Review
- The Next Phase of 3D Bioprinting: AI-Native Systems-A Narrative Review.Journal of functional biomaterials · 2026Review
- Structural Features of Nerve Guidance Conduits and Scaffolds in Preventing Axonal Misdirection: A Systematic Review of Retrograde Tracing Studies.Bioengineering (Basel, Switzerland) · 2026Review
- Nanomaterial-Enhanced Conductive Hydrogels for Peripheral Nerve Repair: Biomimetic Design, Mechanisms, and Translational Challenges.International journal of nanomedicine · 2026Review
- Modulating Schwann cell behavior via functional nerve guidance conduits for enhanced peripheral nerve regeneration.NPJ Regenerative medicine · 2025Review
- Aligned silk fibroin fiber conduits with enhanced capability for guiding peripheral nerve repair.European journal of medical research · 2025Article
- From innovation to clinic: Emerging strategies harnessing electrically conductive polymers to enhance electrically stimulated peripheral nerve repair.Materials today. Bio · 2025Article
- Influencing factors and repair advancements in rodent models of peripheral nerve regeneration.Regenerative medicine · 2024Review
- Artificial intelligence-assisted repair of peripheral nerve injury: a new research hotspot and associated challenges.Neural regeneration research · 2024Article
- Role of transforming growth factor-β in peripheral nerve regeneration.Neural regeneration research · 2024Review
- Fabrication of Multi-Channel Nerve Guidance Conduits Containing Schwann Cells Based on Multi-Material 3D Bioprinting.3D printing and additive manufacturing · 2023Article
- Prospects of Using Chitosan-Based Biopolymers in the Treatment of Peripheral Nerve Injuries.International journal of molecular sciences · 2023Review
- Research hotspots and trends for axon regeneration (2000-2021): a bibliometric study and systematic review.Inflammation and regeneration · 2022Review
- Electroceuticals for peripheral nerve regeneration.Biofabrication · 2022Review
- A Comparative Study of Natural Language Processing Algorithms Based on Cities Changing Diabetes Vulnerability Data.Healthcare (Basel, Switzerland) · 2022Article
- Advances in Electrospun Nerve Guidance Conduits for Engineering Neural Regeneration.Pharmaceutics · 2022Review
- IL-17F depletion accelerates chitosan conduit guided peripheral nerve regeneration.Acta neuropathologica communications · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nerve guidance conduits (NGCs) have emerged from recent advances within tissue engineering as a promising alternative to autografts for peripheral nerve repair. NGCs are tubular structures with engineered biomaterials, which guide axonal regeneration from the injured proximal nerve to the distal stump. NGC design can synergistically combine multiple properties to enhance proliferation of stem and neuronal cells, improve nerve migration, attenuate inflammation and reduce scar tissue formation. The aim of most laboratories fabricating NGCs is the development of an automated process that incorporates patient-specific features and complex tissue blueprints (e.g. neurovascular conduit) that serve as the basis for more complicated muscular and skin grafts. One of the major limitations for tissue engineering is lack of guidance for generating tissue blueprints and the absence of streamlined manufacturing processes. With the rapid expansion of machine intelligence, high dimensional image analysis, and computational scaffold design, optimized tissue templates for 3D bioprinting (3DBP) are feasible. In this review, we examine the translational challenges to peripheral nerve regeneration and where machine intelligence can innovate bottlenecks in neural tissue engineering.
Indexed as
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What OpenQuestion holds
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.