ReviewACS nano2022
Nanoenabled Trainable Systems: From Biointerfaces to Biomimetics.
Review in ACS nano, 2022. 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.
- Bidirectional Electrical and Optoelectronic Interfaces in Healthy and Ischemic Ex Vivo Rat Hearts.Journal of visualized experiments : JoVE · 2025Article
- Perspective on Nano-Enabled Photostimulation Biointerfaces.ACS nano · 2025Review
- Implantable bioelectronic devices for photoelectrochemical and electrochemical modulation of cells and tissues.Nature reviews bioengineering · 2025Article
- Perspectives on non-genetic optoelectronic modulation biointerfaces for advancing healthcare.Med-X · 2024Article
- Bioelectronic Drug-free Control of Opportunistic Pathogens through Selective Excitability.Device · 2024Article
- Advances in Machine Learning for Wearable Sensors.ACS nano · 2024Review
- Article
- Exploring Present and Future Directions in Nano-Enhanced Optoelectronic Neuromodulation.Accounts of chemical research · 2024Review
- Unexpected metabolic rewiring of COProceedings of the National Academy of Sciences of the United States of America · 2023Article
- Perspectives on Multiscale Colloid-Based Materials for Biomedical Applications.Langmuir : the ACS journal of surfaces and colloids · 2023Review
- Review
- Cell membrane-coated nanoparticles: An emerging antibacterial platform for pathogens of food animals.Frontiers in veterinary science · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the dynamic biological system, cells and tissues adapt to diverse environmental conditions and form memories, an essential aspect of training for survival and evolution. An understanding of the biological training principles will inform the design of biomimetic materials whose properties evolve with the environment and offer routes to programmable soft materials, neuromorphic computing, living materials, and biohybrid robotics. In this perspective, we examine the mechanisms by which cells are trained by environmental cues. We outline the artificial platforms that enable biological training and examine the relationship between biological training and biomimetic materials design. We place emphasis on nanoscale material platforms which, given their applicability to chemical, mechanical and electrical stimulation, are critical to bridging natural and synthetic systems.
Indexed as
Identifiers
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.