ReviewJournal of biomechanical engineering2017
Implantable Sensors for Regenerative Medicine.
Review in Journal of biomechanical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- From wires to waves, a novel sensor system for in vivo pressure monitoring.Scientific reports · 2024Article
- Survey of Transfer Learning Approaches in the Machine Learning of Digital Health Sensing Data.Journal of personalized medicine · 2023Review
- Chicken skin based Milli Watt range biocompatible triboelectric nanogenerator for biomechanical energy harvesting.Scientific reports · 2023Article
- Lignin and Keratin-Based Materials in Transient Devices and Disposables: Recent Advances Toward Materials and Environmental Sustainability.ACS omega · 2022Review
- Development of a Wireless Telemetry Sensor Device to Measure Load and Deformation in Orthopaedic Applications.Sensors (Basel, Switzerland) · 2020Article
- A piezoelectric bone fixation plate forMeasurement science & technology · 2020Article
- Wireless Technologies for Implantable Devices.Sensors (Basel, Switzerland) · 2020Review
- Perspective on optical imaging for functional assessment in musculoskeletal extremity trauma surgery.Journal of biomedical optics · 2020Article
- Numerical Investigation of Auxetic Textured Soft Strain Gauge for Monitoring Animal Skin.Sensors (Basel, Switzerland) · 2020Article
- Impact of industry 4.0 to create advancements in orthopaedics.Journal of clinical orthopaedics and trauma · 2020Article
- Article
- Application of Internet of Things in Cell-Based Therapy Delivery: Protocol for a Systematic Review.JMIR research protocols · 2020Article
- Review
- Electrical Interconnects Fabricated From Biodegradable Conductive Polymer Composites.IEEE transactions on components, packaging, and manufacturing technology · 2019Article
- Use of flexible sensor to characterize biomechanics of canine skin.BMC veterinary research · 2019Article
- Wireless Implantable Sensor for Noninvasive, Longitudinal Quantification of Axial Strain Across Rodent Long Bone Defects.Journal of biomechanical engineering · 2017Article
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.
Funding
Abstract
The translation of many tissue engineering/regenerative medicine (TE/RM) therapies that demonstrate promise in vitro are delayed or abandoned due to reduced and inconsistent efficacy when implemented in more complex and clinically relevant preclinical in vivo models. Determining mechanistic reasons for impaired treatment efficacy is challenging after a regenerative therapy is implanted due to technical limitations in longitudinally measuring the progression of key environmental cues in vivo. The ability to acquire real-time measurements of environmental parameters of interest including strain, pressure, pH, temperature, oxygen tension, and specific biomarkers within the regenerative niche in situ would significantly enhance the information available to tissue engineers to monitor and evaluate mechanisms of functional healing or lack thereof. Continued advancements in material and fabrication technologies utilized by microelectromechanical systems (MEMSs) and the unique physical characteristics of passive magnetoelastic sensor platforms have created an opportunity to implant small, flexible, low-power sensors into preclinical in vivo models, and quantitatively measure environmental cues throughout healing. In this perspective article, we discuss the need for longitudinal measurements in TE/RM research, technical progress in MEMS and magnetoelastic approaches to implantable sensors, the potential application of implantable sensors to benefit preclinical TE/RM research, and the future directions of collaborative efforts at the intersection of these two important fields.
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.