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Graphene has the potential to reshape neurosurgery

Graphene has the potential to reshape neurosurgery | Science, Technology, and Current Futurism | Scoop.it

Graphene, a monolayer atomic-scale honeycomb lattice of carbon atoms, has been considered the greatest revolution in metamaterials research in the past 5 years. Its developers were awarded the Nobel Prize in Physics in 2010, and massive funding has been directed to graphene-based experimental research in the last years. For instance, an international scientific collaboration has recently received a €1 billion grant from the European Flagship Initiative, the largest amount of financial resources ever granted for a single research project in the history of modern science. Because of graphene’s unique optical, thermal, mechanical, electronic, and quantum properties, the incorporation of graphene-based metamaterials to biomedical applications is expected to lead to major technological breakthroughs in the next few decades. Current frontline research in graphene technology includes the development of high-performance, lightweight, and malleable electronic devices, new optical modulators, ultracapacitors, molecular biodevices, organic photovoltaic cells, lithium-ion microbatteries, frequency multipliers, quantum dots, and integrated circuits, just to mention a few. With such advances, graphene technology is expected to significantly impact several areas of neurosurgery, including neuro-oncology, neurointensive care, neuroregeneration research, peripheral nerve surgery, functional neurosurgery, and spine surgery.

 

Graphene may lead to exciting new applications in the diagnosis and treatment of neurological diseases, according to a report in the May issue of Neurosurgery, official journal of the Congress of Neurological Surgeons. The paper can also serve as a general introduction to the properties of graphene and its future uses.

 

Tobias A. Mattei, MD, of Invision Health/Brain & Spine Center, Buffalo, New York and Azeem A. Rehman, BS, of The University of Illinois College of Medicine at Peoria, suggest how graphene could contribute to future advances in several areas of neurosurgery, including:

 

Cancer Treatment. Graphene nanoparticles may play a role in tumor-targeted imaging, as well as possible new therapeutic approaches involving photothermal or alternating electrical field stimulation therapies.Intensive Care Unit Monitoring. New electrochemical and optical biosensors may provide new approaches to neurologic monitoring in patients with stroke or traumatic brain injury.Neuroregeneration. Graphene materials may be used in new strategies to promote regeneration of nervous system tissues — for example, graphene-coated scaffolds to stimulate growth of injured peripheral nerves.Functional Neurosurgery. Improved electrophysiological monitoring systems may help in performing precisely targeted brain surgeries in patients with conditions such as epilepsy and movement disorders.Spinal Surgery. High-resistance graphene-based hardware may represent the next generation in instrumentation for spinal surgery.

 

However, much work remains before any of these advances become reality, the authors advise. While graphene has been shown to be biocompatible, more basic research is needed to examine the long-term biological effects of graphene implants and to answer other important clinical questions.


Via Dr. Stefan Gruenwald
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#futurism #futurepossibilities

 

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metamaterials

metamaterials | Science, Technology, and Current Futurism | Scoop.it
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Stretchable electrical wires heal back together after being severed

Stretchable electrical wires heal back together after being severed | Science, Technology, and Current Futurism | Scoop.it
An experimental new type of electrical wire can heal itself back together when cut in two.
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Programming smart molecules: Machine-learning algorithms could make chemical reactions intelligent

Programming smart molecules: Machine-learning algorithms could make chemical reactions intelligent | Science, Technology, and Current Futurism | Scoop.it
Computer scientists at the Harvard School of Engineering and Applied Sciences (SEAS) and the Wyss Institute for Biologically Inspired Engineering at Harvard University have joined forces to put powerful probabilistic reasoning algorithms in the...
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Adams and Napp designed a tool that can take probabilistic representations of unknowns in the world (probabilistic graphical models, in the language of machine learning) and compile them into a set of chemical reactions that estimate quantities that cannot be observed directly. The key insight is that the dynamics of chemical reactions map directly onto the two types of computational steps that computer scientists would normally perform in silico to achieve the same end.

 



Read more at: http://phys.org/news/2013-12-smart-molecules-machine-learning-algorithms-chemical.html#jCp

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33rd Square: First Viable High-Speed Quantum Computer May Be Possible With Connected Quantum Dots

33rd Square: First Viable High-Speed Quantum Computer May Be Possible With Connected Quantum Dots | Science, Technology, and Current Futurism | Scoop.it
A new spin technique developed by researchers at the University of Pittsburgh and Delft University of Technology closer to creating the first viable high-speed quantum computer.
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New wonder material replaces graphene for future electronic devices | KurzweilAI

New wonder material replaces graphene for future electronic devices | KurzweilAI | Science, Technology, and Current Futurism | Scoop.it
This diagram shows the flat-sheet structure of molybdenum disulfide --- molybdenum atoms shown in teal, sulfur atoms in yellow (credit:  Han Wang et...
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