Research from Duke University, Department of Biomedical Engineering provides new data on tissue engineering

摘要

A report, 'Neural network analysis identifies scaffold properties necessary for in vitro chondrogenesis innelastin-like polypeptide biopolymer scaffolds,' is newly published data in Tissue Engineering Part a. "Thensuccessful design of biomaterial scaffolds for articular cartilage tissue engineering requires annunderstanding of the impact of combinations of material formulation parameters on diverse andncompeting functional outcomes of biomaterial performance. This study sought to explore the use of antype of unsupervised artificial network, a self-organizing map, to identify relationships between scaffoldnformulation parameters (crosslink density, molecular weight, and concentration) and 11 such outcomesn(including mechanical properties, matrix accumulation, metabolite usage and production, and histologicalnappearance) for scaffolds formed from crosslinked elastin-like polypeptide (ELP) hydrogels," scientists innthe United States report.