Lifeboat Foundation

Researchers at Cornell University have come up with a novel biomaterial that can be used to create artificial skin capable of mimicking the behavior of natural human tissues.

Thanks to its unique composition, made up of collagen mixed with a ‘zwitterionic’ hydrogel, the team’s biohybrid composite is said to be soft and biocompatible, but flexible enough to withstand continued distortion. While the scientists’ R&D project remains ongoing, they say their bio-ink could one day be used as a basis for 3D printing scaffolds from patients’ cells, which effectively heal wounds in-situ.

“Ultimately, we want to create something for regenerative medicine purposes, such as a piece of scaffold that can withstand some initial loads until the tissue fully regenerates,” said Nikolaos Bouklas, one of the study’s co-lead authors. “With this material, you could 3D print a porous scaffold with cells that could eventually create the actual tissue around the scaffold.”

Hard yet flexible, chitin builds insects’ exoskeletons, wings, and scales.

Engineers have developed a new class of smart textiles that can shape-shift and turn a two-dimensional material into 3D structures.

The team from UNSW Sydney’s Graduate School of Biomedical Engineering, and Tyree Foundation Institute of Health Engineering (Tyree iHealthE), led by Dr. Thanh Nho Do, have produced a material which is constructed from tiny soft artificial “muscles”—which are long silicon tubes filled with fluid which are manipulated to move via hydraulics.

Continue reading “New shape-shifting material can move like a robot” »

Brain-machine interfaces (BMIs) are devices that enable direct communication/translation between biological neuronal networks (e.g. a brain or a spine) and external machines. They are currently being used as a tool for fundamental neuroscience research and also for treating neurological disorders and for manipulating neuro-prosthetic devices. As remarkable as today’s BMIs are, however, the next generation BMIs will require new hardware and software with improved resolution and specificity in order to precisely monitor and control the activities of complex neuronal networks. In this talk, I will describe my group’s effort to develop new neuroelectronic devices enabled by silicon nanotechnology that can serve as high-precision, highly multiplexed interface to neuronal networks. I will then describe the promises, as well as potential pitfalls, of next generation BMIs. Hongkun Park is a Professor of Chemistry and Chemical Biology and a Professor of Physics at Harvard University. He is also an Institute Member of the Broad Institute of Harvard and MIT and a member of the Harvard Center for Brain Science and Harvard Quantum Optics Center. He serves as an associate editor of Nano Letters. His research interests lie in exploring solid-state photonic, optoelectronic, and plasmonic devices for quantum information processing as well as developing new nano-and microelectronic interfaces for living cells, cell networks, and organisms. Awards and honors that he received include the Ho-Am Foundation Prize in Science, NIH Director’s Pioneer Award, and the US Vannevar Bush Faculty Fellowship, the David and Lucile Packard Foundation Fellowship for Science and Engineering, the Alfred P. Sloan Research Fellowship, and the Camille Dreyfus Teacher-Scholar Award. This talk was given at a TEDx event using the TED conference format but independently organized by a local community.

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Krishna Shenoy helps to restore lost function for disabled patients by designing prosthetic devices that can translate neural brain activity.

Krishna Shenoy directs the Neural Prosthetic Systems Lab, where his group conducts neuroscience and neuro-engineering research to better understand how the brain controls movement and to design medical systems to assist those with movement disabilities. Shenoy also co-directs the Neural Prosthetics Translational Lab, which uses these advances to help people with severe motor disabilities. Shenoy received his bachelor’s degree in electrical engineering from UC-Irvine and his master’s and doctoral degrees in the same field from MIT. He was a neurobiology postdoctoral fellow at Caltech in Pasadena and then joined Stanford University, where he is a professor of electrical engineering, bioengineering and neurobiology.

System uses tiny magnetic beads to rapidly measure the position of muscles and relay that information to a bionic prosthesis.

“We are starting to help patients in ways that we did not think were possible,” Thomas Oxley (Mount Sinai Hospital, New York, USA) tells NeuroNews, referring to the potential of brain-computer interface (BCI) technology. Alongside his role as a vascular and interventional neurologist, Oxley is chief executive officer of Synchron, developer of the Stentrode motor neuroprosthesis. The Stentrode is an implantable BCI device that, according to Oxley, is the first of its kind to be in the early feasibility clinical stage in the USA following US Food and Drug Administration (FDA) approval of Synchron’s investigational device exemption (IDE) application last month. Speaking to NeuroNewsfollowing a presentation on the topic at the Society of NeuroInterventional Surgery’s 18thannual meeting (SNIS; 26–29 July 2021, Colorado Springs, USA and virtual), Oxley gives an overview of the COMMAND early feasibility study, anticipates key results, and considers more generally how BCI technology could shape the future of deep brain stimulation.