ReviewAnnals of biomedical engineering2016
Monitoring/Imaging and Regenerative Agents for Enhancing Tissue Engineering Characterization and Therapies.
Review in Annals of biomedical engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Multi-omics insights into bone tissue injury and healing: bridging orthopedic trauma and regenerative medicine.Burns & trauma · 2025Review
- Multimodal Imaging-Guided Stem Cell Ocular Treatment.ACS nano · 2024Article
- In Vivo Subretinal ARPE-19 Cell Tracking Using Indocyanine Green Contrast-Enhanced Multimodality Photoacoustic Microscopy, Optical Coherence Tomography, and Fluorescence Imaging for Regenerative Medicine.Translational vision science & technology · 2021Article
- Photomagnetic Prussian blue nanocubes: Synthesis, characterization, and biomedical applications.Nanomedicine : nanotechnology, biology, and medicine · 2020Article
- Drug transport across the human placenta: review of placenta-on-a-chip and previous approaches.Interface focus · 2019Review
- Targeted Near-Infrared Fluorescence Imaging for Regenerative Medicine.Tissue engineering and regenerative medicine · 2019Review
- Article
- Development of a stem cell tracking platform for ophthalmic applications using ultrasound and photoacoustic imaging.Theranostics · 2019Article
- Oxygen Regulation in Development: Lessons from Embryogenesis towards Tissue Engineering.Cells, tissues, organs · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The past three decades have seen numerous advances in tissue engineering and regenerative medicine (TERM) therapies. However, despite the successes there is still much to be done before TERM therapies become commonplace in clinic. One of the main obstacles is the lack of knowledge regarding complex tissue engineering processes. Imaging strategies, in conjunction with exogenous contrast agents, can aid in this endeavor by assessing in vivo therapeutic progress. The ability to uncover real-time treatment progress will help shed light on the complex tissue engineering processes and lead to development of improved, adaptive treatments. More importantly, the utilized exogenous contrast agents can double as therapeutic agents. Proper use of these Monitoring/Imaging and Regenerative Agents (MIRAs) can help increase TERM therapy successes and allow for clinical translation. While other fields have exploited similar particles for combining diagnostics and therapy, MIRA research is still in its beginning stages with much of the current research being focused on imaging or therapeutic applications, separately. Advancing MIRA research will have numerous impacts on achieving clinical translations of TERM therapies. Therefore, it is our goal to highlight current MIRA progress and suggest future research that can lead to effective TERM treatments.
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.