ReviewiScience2020
Engineering Smart Hybrid Tissues with Built-In Electronics.
Review in iScience, 2020. 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, 27 citations in OpenAlex.
- Polyphenol-Mediated Multifunctional Human-Machine Interface Hydrogel Electrodes in Bioelectronics.Small science · 2025Review
- Transparent and Conformal Microcoil Arrays for Spatially Selective Neuronal Activation.Device · 2024Article
- Bio-hybrid electronic and photonic devices.Experimental biology and medicine (Maywood, N.J.) · 2022Review
- Smart Pacemaker: A Review.Cureus · 2022Review
- Vertical Organic Electrochemical Transistors and Electronics for Low Amplitude Micro-Organ Signals.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- A framework for developing sex-specific engineered heart models.Nature reviews. Materials · 2022Review
- Nanoenabled Bioelectrical Modulation.Accounts of materials research · 2021Article
- Compliant 3D frameworks instrumented with strain sensors for characterization of millimeter-scale engineered muscle tissues.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- The Future of Neuroscience: Flexible and Wireless Implantable Neural Electronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Review
- Bioengineering the Cardiac Conduction System: Advances in Cellular, Gene, and Tissue Engineering for Heart Rhythm Regeneration.Frontiers in bioengineering and biotechnology · 2021Review
- Real-Time Impedance Monitoring of Epithelial Cultures with Inkjet-Printed Interdigitated-Electrode Sensors.Sensors (Basel, Switzerland) · 2020Article
- Nature-derived materials for the fabrication of functional biodevices.Materials today. Bio · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
One of the major hurdles faced in tissue engineering is the inability to monitor and control the function of an engineered tissue following transplantation. Recent years have seen major developments in the field by integrating electronics within engineered tissues. Previously, the most common types of devices integrated into the body used to be pacemakers and deep brain stimulation electrodes that are stiff and non-compliant; the advent of ultra-thin and flexible electronics has brought forth a significant expansion of the field. Recent developments have enabled interfacing electronics onto, into, and within all tissues and organs with minimal adverse reactions. These have introduced the ability to engineer tissues with built-in electronics that allow for remote monitoring and regulation of tissue function. In this review, we discuss the development of technologies that allowed for the formation of tissue-electronics hybrids and give an overview of the existing examples of these hybrid "cyborg" tissues.
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.