E-Mail
IMAGE: Aligned myotubes formed on electrospun extracellular matrix scaffolds produced at Rice University. The staining with fluorescent tags shows cells expression of myogenic marker desmin (green), actin (red) and nuclei (blue). view more
Credit: Mikos Research Group/Rice University
HOUSTON - (May 14, 2021) - Rice University bioengineers are fabricating and testing tunable electrospun scaffolds completely derived from decellularized skeletal muscle to promote the regeneration of injured skeletal muscle.
Their paper in
Science Advances shows how natural extracellular matrix can be made to mimic native skeletal muscle and direct the alignment, growth and differentiation of myotubes, one of the building blocks of skeletal muscle. The bioactive scaffolds are made in the lab via electrospinning, a high-throughput process that can produce single micron-scale fibers.
E-Mail
IMAGE: A new version of wireless implants developed at Rice University allows for multiple stimulators, as seen here, to be programmed and magnetically powered from a single transmitter outside the body.. view more
Credit: Secure and Intelligent Micro-Systems Lab/Rice University
HOUSTON - (May 10, 2021) - Implants that require a steady source of power but don t need wires are an idea whose time has come.
Now, for therapies that require multiple, coordinated stimulation implants, their timing has come as well.
Rice University engineers who developed implants for electrical stimulation in patients with spinal cord injuries have advanced their technique to power and program multisite biostimulators from a single transmitter.
E-Mail
IMAGE: Engineers at Rice University and Lawrence Livermore National Laboratory are using neural networks to accelerate the prediction of how microstructures of materials evolve. This example predicts snowflake-like dendritic crystal growth.. view more
Credit: Mesoscale Materials Science Group/Rice University
HOUSTON - (April 30, 2021) - The microscopic structures and properties of materials are intimately linked, and customizing them is a challenge. Rice University engineers are determined to simplify the process through machine learning.
To that end, the Rice lab of materials scientist Ming Tang, in collaboration with physicist Fei Zhou at Lawrence Livermore National Laboratory, introduced a technique to predict the evolution of microstructures structural features between 10 nanometers and 100 microns in materials.
Bioengineer wins NIH grant to attack cystic fibrosis eurekalert.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from eurekalert.org Daily Mail and Mail on Sunday newspapers.
E-Mail
IMAGE: The Rice University computer science lab of Todd Treangen challenged and beat deep learning in a test to see if a new bioinformatics approach effectively tracks the lab. view more
Credit: Tommy LaVergne/Rice University
HOUSTON - (Feb. 26, 2021) - Tracking the origin of synthetic genetic code has never been simple, but it can be done through bioinformatic or, increasingly, deep learning computational approaches.
Though the latter gets the lion s share of attention, new research by computer scientist Todd Treangen of Rice University s Brown School of Engineering is focused on whether sequence alignment and pan-genome-based methods can outperform recent deep learning approaches in this area.