For some time now, we’ve seen robotic surgical devices that can be remotely guided within the human body. And while they do make surgery more precise and less invasive, they still have to be continuously operated by a surgeon. Recently, however, a robotic catheter successfully navigated beating pig hearts on its own.
An army of tiny robots scuttling about inside your mouth cleaning your teeth. It’s a disquieting thought, and yet it might be one of the most effective ways to deal with the sticky bacterial biofilms that coat our choppers – as well as water pipes, catheters and other tough-to-clean items.
Anyone who’s been laid up for an extended period due to illness or injury will know how difficult it can be to get moving again. Long-term immobility can see a loss of muscle mass that can be hard to regain, especially for the elderly. In research on mice, a team at the University of Illinois at Urbana-Champaign have found that the injection of a type of cells known to promote blood vessel growth helps accelerate to restoration of muscle mass lost due to inactivity.
Rejuvenation ResearchVol. 18, No. 5Original ArticlesOpen Access Open Access license Persistence of Long-Term Memory in Vitrified and Revived Caenorhabditis elegans Natasha Vita-More and Daniel Barranco Natasha Vita-MoreAlcor Research Center (ARC), Alcor Life Extension Foundation, Scottsdale, Arizona. U…
Tilly is the real life Alita. She uses her bionic arms as a sign of strength 🙌 www.openbionics.com/alita
In a focus section published in the journal Seismological Research Letters, researchers describe how they are using machine learning methods to hone predictions of seismic activity, identify earthquake centers, characterize different types of seismic waves and distinguish seismic activity from other kinds of ground “noise.”
Machine learning refers to a set of algorithms and models that allow computers to identify and extract patterns of information from large data sets. Machine learning methods often discover these patterns from the data themselves, without reference to the real-world, physical mechanisms represented by the data. The methods have been used successfully on problems such as digital image and speech recognition, among other applications.
More seismologists are using the methods, driven by “the increasing size of seismic data sets, improvements in computational power, new algorithms and architecture and the availability of easy-to-use open source machine learning frameworks,” write focus section editors Karianne Bergen of Harvard University, Ting Cheng of Los Alamos National Laboratory, and Zefeng Li of Caltech.
