Downloads provided by UsageCounts
Clinical use of bioengineered skin in reconstructive surgery has been established for more than 30 years. The limitations and ethical considerations regarding the use of animal models have expanded the application of bioengineered skin in the areas of disease modeling and drug screening. These skin models should represent the anatomical and physiological traits of native skin for the efficient replication of normal and pathological skin conditions. In addition, reliability of such models is essential for the conduction of faithful, rapid, and large-scale studies. Therefore, research efforts are focused on automated fabrication methods to replace the traditional manual approaches. This report presents an overview of the skin models applicable to skin disease modeling along with their fabrication methods, and discusses the potential of the currently available options to conform and satisfy the demands for disease modeling and drug screening.
standardization, 571, Tissue Engineering, biofabrication, Biomedical Engineering, Review, Skin Diseases, skin disease modeling, bioengineered skin; biofabrication; skin disease modeling; standardization, bioengineered skin, Animals, Humans, Skin
standardization, 571, Tissue Engineering, biofabrication, Biomedical Engineering, Review, Skin Diseases, skin disease modeling, bioengineered skin; biofabrication; skin disease modeling; standardization, bioengineered skin, Animals, Humans, Skin
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 38 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 5 | |
| downloads | 7 |

Views provided by UsageCounts
Downloads provided by UsageCounts