Myocardial infarction, or heart attacks, play a large part in heart diseases and the necrosis of cardiac tissue. In APL Bioengineering, researchers take stock of stem cell-laden 3D-bioprinted cardiac patch technologies and their efficacy as a therapeutic and regenerative approach for ischemic cardiomyopathy in reversing scar formation and promoting myocardial regeneration. They explore types of candidate stem cells that possess cardiac regenerative potential and share updates on the challenging implementation of the state-of-the-art 3D-bioprinting approach.
A new 3D bioprinter developed by UC San Diego nanoengineers operates at record speed—it can print a 96-well array of living human tissue samples within 30 minutes. The technology could help accelerate high-throughput preclinical drug screening and make it less costly.
The new technique is capable of printing organ models containing live cells in minutes instead of hours— a major step in the quest to create 3D-printed replacement organs.
Research into 3D bioprinting has grown rapidly in recent years as scientists seek to re-create the structure and function of complex biological systems from human tissues to entire organs. In APL Bioengineering, researchers from Carnegie Mellon University provide perspective on the Freefrom Reversible Embedding of Suspended Hydrogels 3D bioprinting approach, which solves the issue of gravity and distortion by printing within a yield-stress support bath that holds the bioinks in place until they are cured.
November is National Diabetes Month, a time when the nation comes together to shed light on one of the leading causes of death and disability among U.S. citizens. The University of Texas at El Paso (UTEP) is joining the fight against the disease through innovative research made possible through a recent $1.2M grant by the National Institutes of Health to advance understanding of a critical diabetic heart condition.
Lawrence Livermore National Laboratory scientists have paired 3D-printed, living human brain vasculature with advanced computational flow simulations to better understand tumor cell attachment to blood vessels, the first step in secondary tumor formation during cancer metastasis.