What is Neurotechnology and Brain-Computer Interface, the tech that Elon Musks Neuralink uses? Firstpost
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The connections between the neurons in your brain enable you to do amazing things, from brushing your teeth to solving calculus equations. When these connections become damaged, often as a result of conditions like stroke or traumatic brain injury, these abilities can be lost. Directly activating neurons with tiny pulses of electricity, however, can help rewire these connections and potentially restore function.
Doctors currently use this technique, called neurostimulation, to treat conditions like Parkisons and depression. We believe that neurostimulation has the potential to not only treat symptoms but also cure a wider range of diseases by repairing damaged connections. However, it has been unclear how to best fine-tune stimulation to specifically target damaged connections within the brain.
New forms of neurotechnology and statistical modeling that have developed over the past few years have made answering this question possible. Our team of biomedical engineers and statisticians used these tools to show that the changes neurostimulation makes to neurons depend on how they were connected in the first place. In other words, for neurostimulation to work, it needs to be tailored to each individuals brain.
To investigate what factors most strongly influence the effects of neurostimulation, we stimulated the brains of two monkeys and recorded how the connections between different regions changed. We focused on brain regions involved in motor movement and sensory processing areas that are often impaired in neurological disorders like stroke.
We recorded our data with a large-scale neural interface a device that rests directly on the surface of a live brain and records the activity of the neurons below it. Our neural interface was able to precisely stimulate each area through optogenetics, a technique that shines a light on genetically modified neurons to activate them. While not yet approved for use in people, optogenetics has unique advantages over other forms of neurostimulation that make it especially useful for understanding how stimulation affects the brain. This includes its ability to make higher-quality recording of the electrical signals generated by the brain.
We then analyzed our data with an artificial intelligence algorithm designed to predict how preexisting brain connections and different stimulation parameters will affect the brain.
This algorithm is similar to other AI techniques like deep learning that find complex relationships in data that are otherwise difficult or impossible to identify. But unlike these black box models that make it impossible for researchers to understand how they arrived at their findings, our technique allows us to see why and how it makes its predictions. Using this algorithm, we were able to test different factors that influence connection changes and visualize how they each contributed to the overall prediction the model provided. These factors included pauses between stimulation sessions, the distance between stimulation locations in the brain and the region of the brain in which the electrodes were placed, among others.
We found that it was the existing connections in the brain, not how the stimulation was delivered, that was the most important factor to predicting changes in the brain. What this suggests is that the unique qualities of each individuals brain are crucial to understand how it will respond to stimulation, pointing to a need for treatment personalization to maximize its benefits. This could look like tailoring the strength, frequency and location of the neurostimulation to each persons brain.
Brain stimulation has the potential to treat a wide range of neurological diseases. Our work suggests that studying how existing brain connectivity affects neurostimulation response may be a new direction worth further investigation. We believe that changing neural connections themselves for long-term effects, as opposed to stimulating neurons for short-term changes in neural activity, may help move treatments from just treating symptoms to curing diseases outright.
One health condition for which personalization could lead to improved brain stimulation therapies is stroke, one of the leading causes of serious long-term disability and death in the U.S. While the brain is able to partially repair the damage caused by stroke, it has only a two-week window to do this before the chances of recovery significantly drop off.
A failed 2008 clinical study one of us was involved with, the Everest trial, explored the possibility of using brain stimulation to extend this recovery period and help stroke survivors regain their ability to move. Based on our recent study, we hypothesize that the clinical trial may have failed because researchers applied the same generic stimulation to all patients instead of tailoring it to each individual brain. Applying the same brain stimulation parameters may have worked in rodent studies, but human brains are much more complex. While we cant know for sure if this is the reason the clinical trial failed, our research suggests that stimulation may have needed to be much more personalized to be effective.
Our work shows that tailoring treatment to each individual brain could help improve brain stimulation outcomes, and puts forward tools to study how neural connectivity influences stimulation. But further research is needed to figure out how personalization would best be done by precisely strengthening or weakening specific neural connections.
It is also worth noting that we have tested our technique on only two brain regions thus far. We plan on replicating this study in other brain regions to verify that our findings can be generalized across the brain as a whole and are applicable to different neurological and psychiatric disorders. We are also in the process of using our neural interface and AI algorithm to design stimulation patterns that can induce specific changes in the brain to repair dysfunctional connections.
The full potential of brain stimulation will not be realized until scientists have a better understanding of how it affects the brain. We believe that figuring out how existing patterns of brain connectivity interact and change with stimulation could open doors to more treatments and therapies for neurological and psychiatric diseases.
Azadeh Yazdan-Shahmorad, Assistant Professor of Bioengineering, and Electrical and Computer Engineering, University of Washington; Alec Greaves-Tunnell, Visiting Researcher in Computational Neuroscience, University of Washington, and Julien Bloch, PhD Candidate in Neural Engineering, University of Washington
This article is republished from The Conversation under a Creative Commons license. Read the original article.
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Brain Stimulation Can Rewire and Heal Damaged Neural Connections, But it Isn't Clear How - Nextgov
OpenBCIs new platform Galea, will be combined with the cutting-edge Varjo Aero VR headset to provide developers and researchers a powerful new tool for understanding and augmenting the human mind
BROOKLYN, NY May 31, 2022 OpenBCI, a Brooklyn-based neurotechnology company, announced today that it has partnered with Varjo, the leader in professional-grade VR/XR, for the launch of Galea, OpenBCIs eagerly anticipated new product.
Galea is a hardware and software platform that merges next-generation brain-computer interface technology with head-mounted displays. Galea beta systems will come integrated with the Varjo Aero headset and will be the worlds first device that simultaneously measures the users heart, skin, muscles, eyes, and brain.
The Galea Beta Program has already received significant interest from applicants spanning consumer technology, healthcare, research, training, and gaming & interactive media. Galea beta units will come fully-integrated with the industry-leading Varjo Aero and include robust SDKs with ready-to-use building blocks for accessing the sensor data inside of Unity, Python, and several other common development environments. The Aero is Varjos newest VR headset that offers industry-leading visual fidelity, featuring true-to-life, edge-to-edge clarity across 115 degrees field of view designed for professionals and leading-edge VR users alike. By combining Galeas multi-modal sensor system, integrated software and Varjo VR hardware, users are equipped with powerful tools to help accelerate innovations within the neurotechnology industry.
For nearly a decade, OpenBCI has been at the forefront of expanding consumer access to neurotechnology. What started as a movement among makers and early-adopters, has grown into a global community of scientists, developers, educators, and increasingly, innovation teams of major technology companies. Galeas unique multi-modal sensor network and complementary software dramatically simplifies the process of collecting tightly-synchronized data from the body and unlocks new techniques for anyone looking to objectively measure user experiences and cognitive states.
Ultimately, I see the combination of neurotechnology and mixed reality as the future of personal computers, says OpenBCI founder and CEO, Conor Russomanno. Weve been watching carefully as neuroscience, BCI, and consumer technology have converged over the past several years. Varjos headsets are some of the best Ive ever experienced and I cant wait to see what our Beta users will be able to create with Galea.
Varjo is proud to join forces with OpenBCI and expand access to the highest-fidelity VR to the research and developer community looking to pioneer new understandings of the human body and mind, said Urho Konttori, co-founder and Chief Technology Officer of Varjo. The integration will allow Galea users to unlock the most immersive VR experience available on the market today and truly push the boundaries of innovation in a number of fields.
Pre-orders for Galea will initially be open to the thousands of companies, developers, and researchers who have already applied to the Galea Beta Program. Remaining units will be available for pre-order by the general public on July 1, 2022.
For more information on the partnership, please contact press@varjo.com.
About OpenBCI:
About Varjo:Varjo (pronounced var-yo) makes revolutionary VR/XR hardware and software that together allow you to see and experience virtual and augmented content just as clearly as you see the analog world around us. Our virtual and mixed reality headsets take you to another level of performance and emotional immersion recreating the exact feeling and conditions of real life, allowing you to perform better and learn faster.www.varjo.com
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OpenBCI and Varjo Partner to Bring Neurotechnology to Spatial Computing
LAUSANNE, Switzerland--(BUSINESS WIRE)--MindMaze, a global pioneer in neurotechnology and digital therapeutics (DTx) for neurological recovery and care, has been recognized as one of Switzerlands Best Managed Companies in 2022. This programme, sponsored by Deloitte Private, SIX Swiss Exchange, and Julius Baer, awards Swiss companies who operate at the highest level of business performance.
We are thrilled to receive this distinguished recognition for our efforts, said COO of MindMaze, Jean-Marc Wismer. As a team we are focused on innovation and quality because when it comes to developing groundbreaking technologies and therapies to treat those suffering from neurological conditions and injuries, good business practices and processes are vital to attract and retain great talent and grow sustainably.
Switzerlands Best Managed Companies Programme highlights exceptional business practices executed by Switzerlands best privately owned companies. A companys efforts, overall growth, and management abilities factor into the programmes selection. The Deloitte evaluation for these awards is based on 29 years of observed practice from the global awards programme that has been rolled out in 48 countries worldwide. Companies that are chosen for this award are upheld as examples for other businesses to follow.
The companys unique organizational model supports both rapid scalability and allows for greater flexibility in a changing environment. This model has proven to be highly effective particularly through COVID, enabling the company to seamlessly adapt its business model to balance product development, marketing and sales activities and maintain strong revenue growth with continued expansion of commercial operations across 15 countries. Deloittes recognition further validates our agile governance hierarchy, which focuses on roles instead of titles, adds Wismer. Cultivating an atmosphere of collaboration and accountability has allowed us to form efficient and ethical business practices that benefit the company, its employees, and our stakeholders.
About MindMaze
Founded in 2012, MindMaze is a global leader in brain technology and digital neurotherapeutic solutions for brain health and recovery. Its mission is to accelerate the brains ability to recover, learn and adapt. The company has two core divisions Healthcare and Labs working collaboratively at the intersection of neuroscience, bio-sensing, engineering, mixed reality and artificial intelligence. MindMaze Healthcare is advancing a universal platform for brain health with breakthrough solutions to some of the worlds most challenging problems in neurology, including stroke, Parkinsons disease and Alzheimers disease. MindMaze Labs, the companys R&D innovation hub, is focused on the future of human computing working across multiple industries to innovate and build the next generation of human-machine interfaces. The company has offices in Lausanne, Baltimore, London, Paris and Mumbai. For more information, please visit http://www.mindmaze.com.
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MindMaze Receives Recognition as one of Switzerland's Best Managed Companies - Business Wire
In November 2021, the month before a surrogate mother delivered his second child with Canadian musician Grimes, Elon Musk became father to twins, a report from Insider has revealed. The mother is Shivon Zilis, an executive at Neuralink, a neurotechnology company founded by Musk.
This puts the total count of Musks living children to ninetwo sets of twins, one set of triplets, and two single births. (Musks first child died suddenly as an infant in 2002.)
Doing my best to help the underpopulation crisis, the worlds richest man tweeted to his 100 million followers, seemingly referring to the news. A collapsing birth rate is the biggest danger civilization faces by far. Musk, who has expressed his belief in promoting population growth before, continued to note that the reason behind falling birthrates is that far too many people are under the illusion that Earth is overpopulated.
Its possible that hes correct about the general perception of overpopulation, but that is unlikely to be the reason behind negative population growth, especially in the US. Musk frames the combination of privileges that allows him to continue to father children in his 50s, and financially support nine of them, as a form of social action, a moral position of sortsa world view that is blind to inequality.
This view is consistent with another idea he expressed in recent tweetsthat going to the Moon in 1969 brought humanity together and stove off conflict, and so would heading to Mars. In a world that is dealing with challenges such as climate change, a pandemic, and increasing poverty, the colonization of Mars seems about as unifying as the Moon landing was in Gil Scott-Herons Whitey on the Moon: I cant pay no doctor bill/(but Whiteys on the Moon)/Ten years from now Ill be payin still/(while Whiteys on the Moon).
That Musk would brag about his fertility as an act at service to the world in the aftermath of the Supreme Courts overturning Roe v. Wade comes across as tone deaf, if not outright dangerous. After all, fighting the myth of overpopulation, and discussing the supposed role of abortion in causing population decline is a frequent talking point of anti-choice doctrine.
Although there are some arguments in favor of delaying having childrento help the planet, population decline can indeed be worrisomein wealthy nations at least. Shrinking countries such as Japan and Italy are already facing the consequences of dealing with a shortage of young people to support their aging populations. Having more children might be essential to ensure growth and wellbeing, and perhaps even encourage economic equality (pdf) in wealthy nations that already have relatively low levels of inequalitybut only when combined with policies that support child care and families, and make raising said children a sustainable proposition.
Musks ability to father so many children in such a short span of time is predicated upon many privileges: his wealth, women willing to parallel-carry his offspring, and a support system in which to raise them. Its likely that the mothers of his children had agency. Grimes didnt carry her second, a surrogate did, and all of them likely have had the privilege of having significant child care support that they can afford. I just assume that there will be nannies, Musk told his first wife, when they were dating, while discussing how many children hed like to have.
But even leaving aside the many who cannot have children, or arent able to afford fertility treatments, millions of American women and people who can get pregnant no longer have reproductive choices, and are at risk of having to birth children they do not wish to have. The inability to afford a child (or more children) is the most commonly cited reason behind abortions. In a country where child care costs are unsustainable even for many middle-class families, and one in six children suffer from hunger, 20% miss at least a meal a day, and 30% Black children miss a meal during the weekend, the large families Musk congratulates people on having are either a great privilege, or a complete nightmare.
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What Elon Musk's tweets on his children and Mars say about inequality - Quartz
Article By : Nitin Dahad
A look at possible avenues for neurotechnology to help address aphasia, a speech and communication disorder resulting from stroke or brain injury.
Neurotechnology solutions developed by companies such as BIOS Health could be the key to treating chronic conditions such as aphasia. But adoption remains very much in the future.
Anyone who is a Bruce Willis fan will suddenly be aware of a condition called aphasia, as news emerged yesterday that the actor was diagnosed with this communication disorder.
The news hits a personal note for me. My family has been trying to deal with and come to terms with aphasia for the last few weeks, as a result of my Mum having a major stroke in February. Its painful to see a person who was extremely active in all kinds of social and community networks to be suddenly unable to express their wants, needs, and desires.
According to the National Aphasia Association (NAA) in the U.S., aphasia affects two million Americans. Aphasia is caused by a brain injury such as stroke or head trauma. In the case of my Mum, it came on suddenly due to the stroke. So, what does it do to a person? According to the NAA, a person with aphasia may have difficulty producing words, but their intelligence is intact; their ideas, thoughts, and knowledge are still in their head its just communicating those ideas, thoughts, and knowledge that is interrupted.
Ever since we first met the rehabilitation staff at the hospital, Ive let my imagination run wild about what kind of technologies might help my Mum get back to whatever a new normal might be, and to enable some form of quality of life where she can engage with people better. While searching the depths of my knowledge, all I could come up with were images of Stephen Hawking with his speech synthesis system, and also Elon Musks Neuralink which uses brain implants. I also remembered chatting to a company called BIOS Health last year about reading brain signals and then being able to process those signals and write back to the brain to do something with it; in their case, to help treat chronic disease.
I looked at those various avenues. First of all, Stephen Hawkings revived ability to communicate was enabled byACAT (assistive context-aware toolkit), which is an opensource toolkit developed by Intel Labs in house. Predictive text functionality was powered byPresage, an intelligent predictive text engine, and integration with Presage was through the Windows Communication Framework. What this does is enable users to communicate with others through keyboard simulation, word prediction, and speech synthesis.
From what I understood, this approach requires some kind of switch, such as the blink sensor, in order to select and create the desired output.
More recently, brain computer interfaces and neurotechnology have evolved significantly. Neuralink, for example, uses a neural implant to connect to neurons in the brain, record the activity of these neurons, and process these signals in real time. The idea is then to decode the signals to figure out what the brain intention is and send that over Bluetooth to the users computer to deliver some useful information or control of external devices.
To me, it seems that reading the brain signals is a key part to solving any aphasia issue. One company that is working on enabling the treatment of chronic conditions by reading and writing electrical signals to the bodys neural network isBIOS Health. Its approach is to utilize artificial intelligence and machine learning to translate the language of the nervous system to help treat chronic diseases.
Great but could these signals also be used to help interpret speech signals from the brain, I asked myself? Well, I posed the question to Emil Hewage, cofounder and CEO of BIOS Health. He explained very helpfully that were not quite there in enabling patients to access neural signals and decode them.
Looking at the concept of neurotechnology from a higher level, Hewage said, Over time, what well start to recognize is that the most valuable part of the emerging neurotechnology landscape are the products and applications that translate the data from whatever biological information there is to that end application.
He said this comes down to building an information translation tool, or a language translator. He continued, Thats the value creating aspect at the heart of all these products. Thats the bit that needs to be developed and unlocked. Were trying to bring more of these specifically seamless and health and quality of life providing innovations to market. So, for example, the models that translate what works today, we would want to make sure they are available, and then as new implantables come to market, we would want to make sure that the higher resolution of data in can lead to higher quality experiences. Hence the more data you can get, the more fully the patient would be able to talk. And the moment when we can interface with the other side of the biology, the muscular side, you could move from a machine voice to a human one.
He said BIOS Healths core purpose is to become better at being the reading and writing layer. From whatever you can afford today for reading, put that through the best models weve got, and deploy it through the best forms of writing back.
He points to something they call theneurotechnology stack framework, which comprises reading and writing tools and a computation layer. The reading tools capture the neural signal data and feed the computation layer, which carries out data processing and analysis and subsequent regulation of stimulation outputs; the writing tools then take these outputs to create the desired effect on the nervous system or neural state. The idea is that software developers can then build higher-level applications on this core stack, according to specific uses cases and needs.
From this conversation I could certainly see that there is potential in the future for neurotechnology solutions to address conditions such as aphasia. But that is still very much in the future. There wasnt more detail on what caused Bruce Willis aphasia. But for today, for him and for my Mum, well need to rely on current tools for augmentative and alternative communication, plus the various apps that have evolved to train patients to speak again. And of course, we will still be using real specialists in speech and language therapy. I am of course open to alternative suggestions and ideas from our readers.
This article was originally published onEE Times.
Nitin Dahad is a correspondent for EE Times, EE Times Europe and also Editor-in-Chief of embedded.com. With 35 years in the electronics industry, hes had many different roles: from engineer to journalist, and from entrepreneur to startup mentor and government advisor. He was part of the startup team that launched 32-bit microprocessor company ARC International in the US in the late 1990s and took it public, and co-founder of The Chilli, which influenced much of the tech startup scene in the early 2000s. Hes also worked with many of the big namesincluding National Semiconductor, GEC Plessey Semiconductors, Dialog Semiconductor and Marconi Instruments.
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"The gap between technological advancements in robotics and the reality for patientsa significant portion of whom choose not to use a prosthesis at allinspired this work," said Dr. Connor Glass, Founder and CEO of Phantom Neuro and primary inventor of Phantom's technology. "Our technology will offer patients control of advanced prosthetics and exoskeletons in much the same way they control an intact limb. This can restore their quality of life to a degree that is currently not possible with existing solutions."
The Phantom X system enables intuitive prosthetic control via small, low risk, flexible sensors that are implanted under the skin within an amputation stump or injured limb. These sensors detect muscle signals as the muscles contract, based on an individual's intended movements. The electrical activity is sent wirelessly out of the body and decoded into those intended movements that are then enacted within a robotic mechanism, creating near-lifelike control of the assistive device, whether that is a prosthetic recreating a missing limb or an exoskeleton helping a person walk.
Beyond Blackrock's participation in Phantom Neuro's recent round of funding, this R&D partnership enables Phantom to leverage Blackrock's decades of experience in neurotechnology and the development of biocompatible implantable sensors to complement and bolster the Phantom X platform.
"Over two years ago, while studying at The Johns Hopkins University School of Medicine's Department of Plastic and Reconstructive Surgery, I met the Blackrock Neurotech team and was made aware of the extraordinary advances they have generated within the neurotechnology field. Today Phantom Neuro is thrilled to announce our partnership with these leaders in BCI technology," said Dr. Glass.
"The nature of our two approaches, Blackrock with the brain and Phantom with the neuromuscular system, covers the whole spectrum of individuals with function-limiting neurological and orthopedic injuries," said Florian Solzbacher, co-founder and Chairman of Blackrock Neurotech. "Together we offer a unique and safe advantage in restoring function across the entire body based on an individual's specific needs."
In addition to a shared focus on function restoration, the two companies are both committed to ensuring clinical translation of technological advancements and to expediting delivery of a commercial product for patients.
"With Blackrock as both an investor in our venture and also a business partner in operations and development, we are ensuring an elevated product with a more efficient development timeline, ultimately meaning quicker and better results for patients," said Dr. Glass.
"Our focus at Blackrock is to provide our neurotech platform to companies intent on advancing technology into effective patient care," said Marcus Gerhardt, co-founder and CEO of Blackrock Neurotech. "Partnering with Dr. Glass and Phantom Neuro leverages our platform and reduces the time to market for their commercialization effort."
While the Phantom X technology is still in pre-clinical stages, discussions with the Food and Drug Administration have begun. The company hopes to begin clinical trials within the next two to four years.
About Blackrock NeurotechBlackrock Neurotech, formerly known as Blackrock Microsystems, is dedicated to the clinical translation of brain-computer interface (BCI) technology. Blackrock, founded in 2008, is the world's leading platform company for BCI technology and the development of implantable solutions that improve human lives. Blackrock's precision electrode technology is at the core of many worldwide innovations in BCI, enabling dozens of early users (known as "BCI Pioneers") to SeeAgain, HearAgain, MoveAgain and more. For more information, visitwww.blackrockneurotech.com
About Phantom NeuroPhantom is an emerging neurotechnology company, spun out of the lab at The Johns Hopkins University School of Medicine, that is enabling lifelike control of robotic orthopedic technologies, such as prosthetic limbs and exoskeletons. Phantom's solution, the Phantom X, consists of low-risk implantable sensors, AI, and enabling software. By providing superior control of robotic orthopedic mechanisms, the Phantom X will drastically improve the lives of individuals with limb difference who have yet to see a tangible improvement in quality of life despite significant advancements in the field of robotics. You can find out more atwww.phantomneuro.com
PR CONTACTS:Karen BlondellLSPR/M for Blackrock Neurotech424-263-7371[emailprotected]
Shannon WilseyPR for Phantom Neuro[emailprotected]
SOURCE Blackrock Neurotech
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Neurable CEO Ramses Alcaide has a mission: bring neurotechnology out of research labs and surgical suites and into everyday life.
Neurable exists to make brain-computer interfaces an everyday thing, Alcaide says.
He envisions a future where the neurotechnology that allows Neurables products to read brainwaves via electrical signals without surgical implants is used to track cognitive capability and mental health, like a Fitbit for the brain.
The company is also building towards a future where brain-computer interfaces (BCI) allow people with disabilities to easily control prosthetics and robotics, and even lets people who cannot speak communicate again.
Their current device, still only available as a preorder, is a set of headphones, called Enten. The headphones are designed to read electrical signals produced by neurons in your brain, a technique called electroencephalography, or EEG for short.
In an EEG, tiny electrodes usually placed directly on the scalp in the lab, but in the ear cups of the Enten headphones pick up the minute electrical charges made by your neurons firing.
Neurable claims that the EEG sensors inside the normal-looking headphones ear cups can detect brain activity, which its proprietary algorithms named after Pokemon can read, analyze, and decode. The idea is to provide insights in focus and neural activity from, and for, people in daily life.
The app might note that a person tends to focus more when listening to certain playlists, for example, and recommend queuing those up right before a deadline, Freethinks Kristin Houser previously reported. If it notices they tend to lose focus about an hour before lunch, it might recommend eating earlier to stave off the slump.
But Alcaides goal is broader than helping you optimize your focus; it is mainstreaming BCI technology in the everyday world.
At its core, the idea of BCI is to use the brains electrical signals to communicate directly with an outside device a machine, an app, or some kind of a computer. BCI allows you to move a robots hand to the left, say, by merely thinking of moving the hand slightly to the left.
While the tech has a distinctly sci-fi feeling to it, BCI is not only quite real, but has been actively researched for half a century.
However, the brain is extremely complicated, and our current understanding of it is limited its a gray box, at best. And since many forms of BCI still require implanted neurotechnology, its hard to imagine many people signing up for surgery in (or even near) the brain for any kind of elective reason.
Noninvasive neurotechnology, like the Enten, is likely to be an important step to feasibility and marketability.
BCI research began in earnest in the early 1970s in the lab of UCLAs Jacques Vidal, according to the Mayo Clinic. Vidal coined the term in a paper published in 1973, and he is broadly considered the founder of the field.
Studies in animals, including non-human primates, continued throughout the 1970s; by the end of the decade, human subjects were able to demonstrate BCI by moving an image of a rocket up and down on a screen.
Research in 2006 showed that neurotechnology implanted into the motor cortex of a man with a spinal injury allowed him to operate a television and a prosthetic hand, as well as move a robotic arm.
Directly implanting neurotechnology in the brain allows researchers to place electrodes right where theyre needed and ensure they get a strong, constant signal. But by definition, they require surgery via specialized equipment and highly trained personnel, making them expensive and risky.
BCI that uses neurotechnology positioned on the skull, rather than inside it, opens up the door for wider adoption.
In 2011, researchers demonstrated the potential for noninvasive neurotechnology, using EEG-powered BCI to spell words on a computer screen, and research on both implanted and non-implanted options has continued apace. BCI neurotechnology is now allowing people to translate thoughts into text, control exoskeletons to help rehab hands, and you can even find open-source options.
Neurable is not the only company trying to bring neurotechnology to everyday life. Most boisterous is Elon Musks Neuralink, whose efforts to develop commercially-available invasive nanotechnology have met with measured response from neuroscientists (and controversy from animal rights groups).
Musks chip-implanted pigs showed that Neuralinks tech appears to be where the field has been for decades the ability to see neurons firing and hear the sounds of a brain at work. But his ability to market cutting-edge tech, as seen with Tesla and SpaceX, makes the idea of commercially available Neuralink implants (someday, for some purpose) hard to write off as complete fantasy.
Closer to Neurable are other EEG products like Muse. Marketed as a meditation, sleep, and focus enhancement device, Muse utilizes a similar technology to Neurable, albeit in headband form.
As researchers continue to learn more about the brain and neurotechnology including not only the hardware, but the algorithms needed to make sense of all that brain data continues to improve, it is possible that Neuralink founder Alcaides vision may indeed come to pass.
For Alcaide and Neurable, opening that technology to the world is really why we exist.
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The recently revealed Report titled Global Voice Biometrics Technology Market report presents the market analysis on the basis of several factors. Report gives the in-depth analysis on the major countries of key regions where the market is growing. In addition, report describes the wide-ranging knowledge about the major companies in this industry and the key strategies accepted by them to survive and rise in the studied industry.
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Chapter 5, 6, 7, 8 and 9, to analyze the key regions, with sales, revenue and market share by key countries in these regions;
Chapter 10 and 11, to show the market by type and application, with sales market share and growth rate by type, application, from 2021 to 2028;
Chapter 12, Voice Biometrics Technology market forecast, by regions, type and application, with sales and revenue, from 2021 to 2028;
Chapter 13, 14 and 15, to describe Voice Biometrics Technology sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.
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The study explores in depth the profiles of the Facial Recognition System market players and their main financial aspects. The competitive analysis includes key players and the innovations and business strategies they have implemented. The report also captures the best long-term growth opportunities for the industry and includes the latest process and product developments. It also offers a special perspective of the Facial Recognition System market with the help of the competitive landscape of leading manufacturers and helps enterprises to earn revenue by understanding the growth approaches.
More importantly, This comprehensive business analyst report is useful for all existing and new entrants as they design their business strategies. The keyword report provides basic information of the companies along with their market position, history, market capitalization, revenue, emerging industry developments with the business drivers, challenges, restraints, and opportunities in the market to provide insight correct and final scenario for the appropriate decisions.
The major manufacturers in this industryinclude:3M, Animetrics, Aware, Inc., Ayonix Corporation, Cognitec Systems, Daon, Gemalto NV, Herta Security, IDEMIA, KeyLemon S.A., NEC Corporation, Neurotechnology, NVISO SA., Panasonic i-PRO Sensing Solutions Co., Ltd., and Techno Brain
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Coherent market insights recently published Facial Recognition System market research report 2021. It provides the development of companies in terms of new launches, mergers and acquisitions, and expansion. The market significantly Increases competitive business strategy. The report makes use of several diagrams, charts, tables, etc.
The Facial Recognition System document offers an extensive analysis of significant statistics, vital insights, informative trends, as well a competitive landscape. The expert report explains facts and figures of the industry, competitive landscape, which is expected to boost the market performance during the forecasted period. The Facial Recognition System market assists an effective market strategies and investment plan to make a change in their business outlook; also covers all the recent development and changes recorded during the COVID-19 outbreak.
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Companies Covered as part of this study include: 3M, Animetrics, Aware, Inc., Ayonix Corporation, Cognitec Systems, Daon, Gemalto NV, Herta Security, IDEMIA, KeyLemon S.A., NEC Corporation, Neurotechnology, NVISO SA., Panasonic i-PRO Sensing Solutions Co., Ltd., and Techno Brain,
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Latest published market study on Image Recognition AI Camera Market provides an overview of the current market dynamics in the Global Market, as well as what our survey respondentsall outsourcing decision-makerspredict the market will look like in 2027. The study breaks market by revenue and volume (wherever applicable) and price history to estimates size and trend analysis and identifying gaps and opportunities.
Get ready to identify the pros and cons of regulatory framework, local reforms and its impact on the Industry. Know how Leaders in Image Recognition AI Camera Market are keeping themselves one step forward with our latest survey analysis.
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Summary: Image recognition AI camera market will grow at a rate of 23.40% for the forecast period of 2020 to 2027. Data Bridge Market Research report image recognition AI camera market provides analysis and insights regarding the various factors expected to be prevalent.
Image Recognition AI Camera Market- Attractiveness, Competitive Landscape and Forecasts to 2027 report provides the market size forecast and the projected growth rate for the next Seven years. The report covers industry analysis including the key market drivers, emerging technology trends, and major challenges faced by market participants. It also offers insights regarding key factors and government programs that are expected to influence the demand for Image Recognition AI Camera Market over the forecast period.
Key Players of Image Recognition AI Camera Market: The major players covered in image recognition AI camera market report are NEC Corporation, Qualcomm Technologies, Inc, Google, LTUTech, Catchoom, Honeywell International Inc, Hitachi, Ltd., Wikitude GmbH, Slyce, Attrasoft, Inc., JASTEC Co. Ltd., Apple Inc., Facebook, Twitter, IDEMIA, Gemalto NV, Ayonix Face Technologies, Cognitec Systems GmbH, Aware, Inc., Daon, Neurotechnology, Herta Security, and KeyLemon Ind. among other domestic and global players.
Strategic Points Covered in Global Image Recognition AI Camera Market Table of Content:
Chapter 1: Introduction, the basic information of the Global Image Recognition AI Camera Market & product overview
Chapter 2: Objective of Study and Research Scope of the Image Recognition AI Camera Market
Chapter 3: Image Recognition AI Camera Market Dynamics- driving growth factors, disruptive forces, Trends and Challenges & Opportunities
Chapter 4: Market Factor Analysis, Image Recognition AI Camera Market Value Chain, PESTEL & PORTER Model, Market Entropy, Patent/Trademark Analysis
Chapter 5: Player Analysis; Competitive Landscape, Peer Group Analysis of Image Recognition AI Camera Market, Strategic Group Analysis, Perpetual Mapping, BCG Matrix & Company Profiling
Chapter 6: Displaying Market Revenue Size by Type, application /vertical or end users, other Segments
Chapter 7: To evaluate the market by countries further broken down by countries
Chapter 8: Research Methodology
Chapter 9: Data Source
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Major Highlights of Image Recognition AI Camera Market Competitive Landscape:
The company profile section of Image Recognition AI Camera Market study analyses the companys operational structure, major products and services offering, geographic footprints and subsidiaries, key management executives and their biographies along with major and closest peer competitors.
Understand and respond to Global Image Recognition AI Camera Market competitors; business strategies, and capitalize on strength and weakness with SWOT analysis.
Latest developments of Image Recognition AI Camera Market players and track findings and outcome following development.
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To add value to product and services; Image Recognition AI Camera Market research comprises of valuable measures showing distinguishable traits/features that influence end users behaviour and demand metrics.
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BETHESDA, Md., Feb. 16, 2021 /PRNewswire/ --JAMA Network Open has published "Validation of a Machine Learning Brain Electrical Activity-Based Index to Aid in Diagnosing Concussion Among Athletes," a ground-breaking study on the accuracy of the BrainScope FDA-cleared biomarker, the Concussion Index, to indicate the likelihood and severity of concussive brain injury and to aid in evaluating an athlete's readiness to return to play.
"What this shows us is that for the first time we have a point of care and objective marker that can rapidly identify the likelihood of concussive injury and can be used to follow patients from baseline through recovery," said lead author Dr.Jeffrey Bazarian, Department of Emergency Medicine, University of Rochester School of Medicine. "With its demonstrated accuracyand ease of use in the athletic environment, the Concussion Index has great potentialto be incorporated intoexisting standard assessments of concussion to aid in objective clinical diagnosis andin determination of readiness to return to play."
In the study, male and female (age 13-25 years) athletes with concussion and athlete "controls" (without concussion) were assessed through a variety of methods, including EEG, cognitive testing and symptom inventories within 72 hours of the injury, when they returned to play, and 45 days after they returned to play. Specific variables from the multi-modal assessment were used to generate a Concussion Index at each time point, with EEG having the largest contribution.
The study was conducted between 2017 to 2019 with referrals from 49 high schools, colleges, and concussion clinics in the US. Of the 580 eligible participants in the analysis, 207 had concussion and 373 were control athletes without concussion, and a total of 1318 evaluations, including follow-ups, were included in the analyses. The Concussion Index had a sensitivity of 86%, specificity of 71%, and negative predictive value of 90%. These results support the high accuracy of the Concussion Index in the identification of the likelihood of concussion, with performance above that reported in the literature for concussion assessment tools, which are largely subjective and show poor replicability. The study can be accessed here.
"The results of this study are an independent demonstration of the power and reliability of BrainScope's Concussion Index as an objective marker in the clinical assessment of concussions at the time of injury and as a reliable indicator of change over time," said Dr. Leslie Prichep, Chief Scientific Officer of BrainScope. "Importantly, the study targeted patients of high school and college age who are at great risk for both short and long-term consequences of concussion, as the brain is still developing."
The Concussion Index can be used for baselining (particularly with athletes and military recruits), at the time of injury, and to aid in decision-making on readiness to return to activity or duty. The addition of BrainScope's AI-derived Concussion Index, which received FDA clearance in late 2019, will complement the previously FDA cleared triage algorithms for assessing the likelihood of brain bleeds (99% sensitivity) and assessing the severity of functional impairment already on the device. The assessment takes less than 20 minutes from prep to results. The hand-held BrainScope device and disposable headsets are available today for sale through the company and must be used with a physician's order. The company is currently taking orders on the enhanced BrainScope device and expects the first customer placements and trainings to begin in March.
This material is based upon work supported by the US Army Contracting Command, Aberdeen Proving Ground, Natick Contracting Division, under Contract No. W911QY-14-C-0098. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the US Army Contracting Command, Aberdeen Proving Ground, Natick Contracting Division. This work was further supported by an award received as a Grand Prize Winner of the GE-NFL Head Health Challenge to advance the development of technologies that can detect early-stage mild traumatic brain injuries and improve brain protection.
About BrainScope Company, Inc.
BrainScope is a medical neurotechnology company that is improving brain health by providing objective, diagnostic insights that enable better patient care. BrainScope is leading the way in the rapid and objective assessment of brain-related conditions, starting with mild traumatic brain injury (mTBI), utilizing multiple integrated assessment capabilities, artificial intelligence (AI), and digitization. The company's technology supports the American College of Emergency Physicians (ACEP) Choosing Wisely campaign to avoid CT scans of the head in emergency department patients with minor head injury. BrainScope's innovative EEG-based, AI-driven platform empowers physicians to quickly make accurate head injury assessments, addressing the full spectrum of traumatic brain injuries from structural (brain bleed) to functional (concussion) injuries, providing for the first time a full picture of the injury, and doing so in less time and without radiation. For more information, please visit http://www.brainscope.com.
Media Contact:
Cherie Lucier, BrainScope Company Inc.
VP Brand Experience
215-805-0131
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This week is dedicated to the brain-computer interface, or BCI. For some time now, sci-fi movies and TV series have presented the idea of a mind-to-computer interface that controls technology, retrieves information and displays it on virtual screens. Meanwhile, in the background, a number of companies have been working on this and the technology is close to realising some of the outcomes only seen in fiction so far.
- The concept is not a new one. I've seen experiments from many years ago where a test subject moved a pointer around on a screen using a passive interface. These days, there are many places like the University of Pittsburgh Medical Center conducting experiments with implanted chips. Around the time Covid-19 popped up, one test subject, Nathan Copeland -- paralysed from the waist down -- took home an advanced brain-computer interface device that allows him to control on-screen actions using only his mind. This device uses a multi-electrode array chip that was implanted inside him in 2015 to control a robotic arm that allows him to play computer games, including supporting the fine motor control required to play complex games like Final Fantasy XIV.
- The game developer Valve has also put a lot of effort into this technology over the past few years but with a passive, rather than an implanted, interface. Valve halted production of their next generation of virtual goggles to investigate this further. According to studio president Gabe Newell: "We're way closer to The Matrix than people realise." In practical terms, the goal is to have a headset where the controls are directed by the wearer's mind. Neurable, a start-up gaming company, already had such a device back in 2017 that could control an escape game using sensors in a cap and a Vive virtual reality headset. That company has since moved onto military applications but the technology still remains for the gaming market.
- In the case of Nathan Copeland, the signals don't just go in one direction. Sensors in the arm also trigger responses like tingling, pressure, warmth, tapping and vibrations -- elements of the sense of touch. However, this has also raised questions and ethical concerns. Could you stimulate a craving, or addiction, or a preference so that your behaviour could be modified? Any game manufacturer's marketing and sales departments would love it if their products became addictive, no matter what disclaimers they might publish. Imagine for example getting positive physical feedback, triggered directly by the game, for each level you pass or win. There are already people spending thousands of dollars for levelling up in games like Genshin Impact without that direct link. Add physical feedback to the equation and you can see where this might lead. Now, add in the sharing of this data with a corporation like Google and this technology potentially starts to get scary.
- Will there be principles on the permissible use and misuse of neurotechnology and user rights? Typically, government policy lags technology, so the creation of a technological bill of rights will be well behind the potential misuse. I'd be happy to start with a basic on/off switch for data transmission to an outside entity like Google.
- Personally, I'm waiting for the neurofeedback device from Mendi that I signed up for on the equivalent of Kickstarter. It is a passive device that is billed to improve mental well-being, performance and overall health via "brain enhancement training" at home. I'll let you know how it goes when I get it.
- Elon Musk recently revealed that his Neuralink brain implant has been successfully implanted in a monkey's brain allowing it to play video games. Musk also claimed that he's not an unhappy monkey and that a US Department of Agriculture representative sent to check the facility said it was the nicest she'd seen in her entire career. So happy monkey aside, the aim of the Neuralink is to improve and speed up human-machine communication. Musk pointed out that the bandwidth between your cortex and your smartphone is slow. He estimates a direct connection would speed things up by a factor of 1,000 orders of magnitude -- a lot. If two people had a Neuralink, it might even be like telepathy because of the compressed exchange. "Sort of like a Fitbit in your skull with tiny wires that go to your brain," he added, before promising more updates in a couple of months.
- To end the article this week, we have some artificial intelligence news. Samsung is planning to test an autonomous ship in August this year. The 133m-long, 9,200 tonne training vessel will make a five-and-a-half hour trip under automation. The aim is to sell automation kits for ships by 2022. What could possibly go wrong with a 200,000 tonne vessel under computer-only control? Back in South Korea, Hyundai and Kai have announced that despite the rumours, they are not working on an Apple car.
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Facial Recognition System Market is a measurable analyzing report about the new advances and prospects in the industry, which serves current and future particular and money related purposes of enthusiasm of the Facial Recognition System business to 2026. These data will help the client to know about the competitors better.
Top players shaping the Facial Recognition System Market are3M, Animetrics, Aware, Inc., Ayonix Corporation, Cognitec Systems, Daon, Gemalto NV, Herta Security, IDEMIA, KeyLemon S.A., NEC Corporation, Neurotechnology, NVISO SA., Panasonic i-PRO Sensing Solutions Co., Ltd., and Techno Brain
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National Neurotechnology Initiative Act seeks to accelerate development of new treatments for brain and nervous system conditions
SAN FRANCISCO & WASHINGTON, D.C., March 12 - A team of prominent members of both houses of Congress introduced today the National Neurotechnology Initiative (NNTI) Act, a bill designed to foster new discoveries and accelerate the development of new and safer treatments for the one in three Americans living with a brain-related illness, injury or disease.
The sponsors of the NNTI Act, Senator Patty Murray (D-WA) and Representatives Patrick J. Kennedy (D-RI 1st) and Ileana Ros-Lehtinen (R-FL 18th), have called upon Congress to reverse the growing economic burden generated by brain-related illness, which exceeds $1 trillion per year in the U.S. due to healthcare costs and lost income.
"The huge numbers speak for themselves: There are 100 million Americans suffering from a brain-related illness, with an enormous economic burden that continues to grow as the population ages," said Zack Lynch, Executive Director of the Neurotechnology Industry Organization. "For a modest investment, Congress has the opportunity to streamline research efforts, accelerate the development of new treatments, promote innovation and job creation by small businesses and have a meaningful impact on the lives of those suffering from devastating diseases and injuries."
Designed to increase private investment and accelerate the development of treatments reaching the market, the NNTI employs targeted increases in funding to improve Federal research coordination and ease bottlenecks that inhibit the development of treatments for brain-related illnesses. The bill accomplishes these goals with less than 4 percent of the total Federal neuroscience research budget - $200 million - and reflects a more balanced disease-cost to research-dollars-expended ratio.
"While our ability to understand how the brain works grows each day, our ability to understand and repair brain illnesses remains limited," said Senator Murray. "For the millions of Americans that suffer from a brain related illness, and the thousands of Americans coming home from Iraq and Afghanistan with Traumatic Brain Injury and PTSD, a new federal commitment to research and treatment can't wait. This bill will place a premium on sharing the information researchers gain everyday and will support ongoing but underfunded programs at NIH."
"With so many Americans suffering from brain-related illnesses, it is crucial for us as a society to maximize our efforts and continue learning about the many facets of the brain, leading to a healthier life for all Americans," said Congressman Patrick Kennedy.
"This legislation will turn America into a nation where brain injuries and diseases are tackled through innovative technology, state of the art medical equipment and top notch neuroscientists. Together we can make this a reality," said Congresswoman Ileana Ros-Lehtinen.
The National Neurotechnology Initiative is designed to address four key bottlenecks that slow the process of developing brain treatments:
The bill also creates a research center that will focus on the ethical, legal, and social implications of neurotechnology.
Have an idea that this legislation will support? Get ideas on how to launch it in our Innovation Center.
Follow this legislation: Senate Bill 586 and House Bill 1483
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Neurotech Bill Introduced in Both Senate and House of Representatives - Epilepsy Foundation
Global Neurotechnology Market: Overview
Neurotechnology is defined as any technological innovation that allows the study or intervention into neurological processes. The nervous system controls every aspect of human biology, and helps it experience every nuance of the environment. Any disruption in this process can be dangerous for an individual.
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Hence, neurological study and intervention are necessary to alleviate the symptoms of such individuals and to further scientific study into the complex processes of the brain. It encompasses all such infrastructure, whether hardware or software that helps achieve this.
A major use of such technology is aiding treatment of chronic neurological disorders. Also, a recent interest into workings of the brain for enhancement of daily life is noted. This, as per Transparency Market Research, is set to drive the neurotechnology market forward from 2020 to 2030.
The global neurotechnology market is fragmented owing to the presence of a number of innovators and manufactures. These players are merging with various digital platforms and online service providers to increase outreach and capitalize on rising interest in this market.
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Some of the notable players are:
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A number of notable factors are lining the landscape of global neurotechnology market over the forecast period. As per Transparency market Research, these are propelling the market upward and forward. From the list of trends and drivers that are positively impacting growth in global neurotechnology market, prominent ones have been identified and some of them have been detailed out below:
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North America and Europe are currently global leaders in the neurotechnology market owing to presence of robust technological infrastructure and world leading research facilities that make use of advanced machines to implement neurological research. As 1 in 4 persons in these regions would be aged 65 or above 65 by 2050 according to the World Health Organization, demand for neurotechnology is expected to steadily increase in these regions.
The Asia Pacific (APAC) region is expected to register the fastest growth in the neurotechnology market in the coming years. As governments in the region give impetus to research and healthcare development, demand for advanced machines to implement these plans will give a boost to this market.
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Neurotechnology is a branch of science that is based on activity of the brain and includes technologies that are developed to enhance and repair functionality of the brain. Neurotechnology is in the continuous research and development phase to analyze the brains activity as well as technologies to control the functions.
Neurotechnology is a branch of science that is based on activity of the brain and includes technologies that are developed to enhance and repair functionality of the brain. Neurotechnology is in the continuous research and development phase to analyze the brains activity as well as technologies to control the functions. The modernization of neurotechnology enables us to take over depression, sleep deprivation, over-activation, and many other disorders. The therapeutic applications can improve epilepsy, degenerative motor disorders such as Parkinson's disease, Huntington's disease, and ALS. Technological advancement in the areas of neurotechnology may include development and restoration approaches for a patient undergoing neurological issues. The implementation of neurotechnology is diversified ranging from imaging modalities to stem cell therapies and pharmaceuticals. With increasing penetration of neurotechnology, has evolved pertaining industries to generate innovative products based on individuals brain functionality.
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Neurotechnology Market: Drivers and Restraints
The growth of global neurotechnology market is primarily driven by the introduction of new technological advancement products. In addition, factors such as increasing prevalence and incidences of neurological disorders, and increasing funding and grants by both public and private bodies are also gardening the growth of neurotechnology market. For instance, according to the estimates of United Nation (UN), nearly 1 billion people are suffering from some type of neurological disorders. However, factors such as high cost of the products, complex regulatory framework, and ethical concerns such as privacy and cognitive liberty are the major obstacles to the growth of neurotechnology market.
Neurotechnology Market: Segmentation
The global neurotechnology market can be segmented on the basis of product type, end-user, and region.
On the basis of product type, global neurotechnology market can be segmented as:
On the basis of end-user, global neurotechnology market can be segmented as:
On the basis of region, global neurotechnology market can be segmented as:
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Neurotechnology Market: Overview
Neurotechnology holds a promising future in evolving human nature when applied fundamentally. The technologies available based on neurotechnology describes the brains activity but requires more extensive research for full implementation of available and upcoming technologies. The adoption of neurotechnology in medical science allows researcher to connect to brains activity and understanding individuals personality and lifestyle patterns for potent diagnosis and prognosis of neurological disorders.
Neurotechnology Market: Region Wise Outlook
Geographically, global neurotechnology market can be segmented as North America, Latin America, Europe, Asia-Pacific and Middle East & Africa. The market in North America is anticipated to show the largest share for neurotechnology, followed by Europe, owing to the increasing prevalence and incidence of neurological disorders. In addition, large patient population coupled with the geriatric population and increasing research and development funding by government bodies are also driving the growth of neurotechnology market. The market in Asia-Pacific is estimated to grow at fastest CAGR during the forecast period owing to the modernization of medical and research facilities, and government are also taking initiatives by providing grants and fellowship to the researchers. However, the regions such as Latin America and Middle East and Africa show a steady growth during the forecast year owing to the scarcity of skilled professional and inadequate presence of research infrastructure.
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Neurotechnology Market: Key Players
Some of the market participants in the global neurotechnology market are General Electric Company, Siemens Healthcare Private Limited, Koninklijke Philips N.V., Toshiba Medical Systems Corporation, Shimadzu Corporation, Hitachi Medical Corporation, Elekta AB, Tristan Technologies, Inc., allengers, Natus Medical Incorporated, and Magstim. The market of neurotechnology has witnessed consolidation among the key players such as collaboration, partnership, patent transfer, increasing research and development activities, product introduction, mergers and acquisition, and joint ventures among the international as well as domestic players are the distinctive trend of competition in the neurotechnology market.
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Global Neurotechnology Market Revenue to Witness Steady Growth Through 2025 - Industry Today
Introduction & Scope: Global Facial Recognition Market
Global Facial Recognition market research report presentation demonstrates and presents an easily understandable market depiction, lending crucial insights on market size, market share as well as latest market developments and notable trends that collectively harness growth in the global Facial Recognition market. Research analysts and industry experts through this report are also aiming to lend ample light on further essential determinants such as a meticulous review and analytical take of opportunity assessment, also encompassing threat and challenge analysis that constantly deter upward growth spurt in Facial Recognition market.
Leading Companies Reviewed in the Report are:
NEC Corporation, Aware, Inc., Ayonix Corporation, Cognitec Systems GmbH, Gemalto NV, Animetrics, Daon, Id3 Technologies, Idemia, Innovatrics, Megvii, Neurotechnology, NVISO SA, StereoVision Imaging, Inc., Techno Brain Group, etc.
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Gauging COVID-19 Impact
To enable mindful business discretion amidst catastrophic developments such as COVID-19 and its subsequent implications, this ready-to-refer research report on the global Facial Recognition market is designed to answer the queries pertaining to the pandemic to emerge from catastrophic implications.
This intensively compiled research report presentation is a versatile hub of innate knowledge factors such as sales volume and bulk production, pricing matrix and sales figures, overall growth review and margin, chances of growth in the future and their range amongst other additional growth determinants that influence growth in the Facial Recognition market.
Regional Analysis
Furthermore, the report helps as a expedient guide to design and instrument probable growth routing activities across select regional hubs in the Facial Recognition market. Frontline companies and their result-based growth approaches are also recruited in the report to emulate growth.
In addition to in its succeeding sectors of the report, this detailed presentation of the Facial Recognition market offers vigorous details on regional belts and expansion projects identifying potential growth possibilities.
Quick Read Table of Contents of this Report @ https://www.adroitmarketresearch.com/industry-reports/facial-recognition-market
Global Facial Recognition Market is segmented based by type, application and region.
Based on Type, the Market has been segmented into:
by Technology (2D facial recognition, 3D facial recognition, facial analytics recognition), Application, End User (BFSI, media & entertainment, telecom & IT, Government & Defense, Healthcare, Retail & E-commerce)
Based on application, the Market has been segmented into:
By Application, End User (BFSI, media & entertainment, telecom & IT, Government & Defense, Healthcare, Retail & E-commerce)
According to research inputs, this global Facial Recognition market is also likely to register a thumping growth of USD xx million in 2020 and is further anticipated to reach over xx million USD by the end of 2027, clocking at a steady CAGR of xx% through the forecast span, 2020-27. Expert opinion also suggests that the global Facial Recognition market is likely to tread on the road to recovery in the foreseeable future.
Five-Pointer Guide for Report Investment
*A rigorous, end-to-end review and analysis of the Facial Recognition market events and their implications
*A thorough compilation of broad market segments
*A complete demonstration of best in-industry practices, mindful business decisions and manufacturer activities that steer revenue sustainability in the global Facial Recognition market
*A complete assessment of competition spectrum, inclusive of relevant details about key and emerging players
*A pin-point review of the major dynamics and dominant alterations that influence growth in the global Facial Recognition market
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Original post:
The UK government has awarded 32m in funding to six healthcare technology projects which could be incorporated into regular NHS care by 2050.
According to the Science Minister Amanda Solloway, the projects aim to transform care in the NHS by 2050 and improve quality of life for older people.
The investments are part of the UK governments R&D Roadmap, which aims to transform the UK into a science superpower and increase public investment in R&D to 22bn by 2024-2025.
The pioneering projects we are backing today will help modernise healthcare, improving all of our lives now and into the future, she said, in a statement. Todays announcement underlines our commitment to back our incredible scientists and researchers and invest in ground-breaking research to keep the UK ahead in cutting-edge discoveries.
InlightenUS, led by the University of Edinburgh, will receive 5.4m to combine AI and infra-red lasers to provide fast, high-resolution 3D images which could be used to identify disease more quickly. By 2050, it is hoped that patients may be able to walk through airport-style X-ray scanners which will be able to pick up detailed images of internal structures to reveal the presence of cancer and osteoporosis.
The emPOWER project, led by the University of Bristol, will receive 6m to develop highly-targeted robotic muscular assistance to help restore strength to people who have lost muscle capability, including patients with degenerative diseases like muscular dystrophy.
Imperial College scientists received 5.5m to develop 'Non-Invasive Single Neuron Electrical Monitoring' technology, which will be combined with AI to allow researchers to monitor the brain in a way never achieved before. This could help scientists better understand devastating neurological diseases like Alzheimers and Parkinsons and hopefully enable new pharmacological and neurotechnology-based treatments.
Other projects include Edinburgh Napier Universitys COG-MHEAR, led by Edinburgh Napier University, to develop hearing aids designed to autonomously adapt to quality of their surroundings; the University of Glasgows project to create a home of the future, incorporating sensors to monitor blood flow, heart rate and brain function; and Heriot-Watt Universitys project to use new laser, optical fibre and imaging technologies to deliver extremely precise therapies to confined parts of the body such as the lungs (including cutting out single cancerous cells while leaving surrounding cells undamaged).
The funding is being delivered through the Engineering and Physical Sciences Research Councils (EPSRC)call for 'Transformative Healthcare Technologies for 2050'.
Professor Dame Lynn Gladden, EPSRC executive chair, commented: The projects announced today will develop new approaches which could become routine in the NHS and community and home care in the coming decades. Harnessing the latest technologies and the UKs world-leading expertise will allow us to deliver a step-change in how healthcare is delivered and benefit millions of people, emphasising the critical role the UKs R&D sector plays in improving the health of the nation.
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AI X-ray scanner and robotic muscles could be adopted by NHS - E&T Magazine
Kalamazoo, Michigan, Sept. 02, 2020 (GLOBE NEWSWIRE) -- Stryker (NYSE:SYK) will participate in the Morgan Stanley 18th Annual Virtual Global Healthcare Conference on Tuesday, September 15, 2020.
Kevin Lobo, Chairman and Chief Executive Officer, will represent the Company in a presentation scheduled for 10:15 a.m. Eastern Time.
A simultaneous webcast and replay of the Company's presentation will be available on Stryker's website at http://www.stryker.com. The webcast will be archived on the Investor Relations page of this site.
Stryker is one of the worlds leading medical technology companies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in Orthopaedics, Medical and Surgical, and Neurotechnology and Spine that help improve patient and hospital outcomes. More information is available atwww.stryker.com.
Contacts
For investor inquiries please contact:Preston Wells, Vice President, Investor Relations at 269-385-2600 or preston.wells@stryker.com
For media inquiries please contact:Yin Becker, Vice President, Communications, Public Affairs and Corporate Marketing at 269-385-2600 or yin.becker@stryker.com
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