Genetics

Rare Disease Genetic Testing Market To Account To Grow At A CAGR Of 8.30% In The Forecast Period Of 2020 To 2027 | Top Companies- Quest Diagnostics,…

Rare Disease Genetic Testing Market analysis report gives clear idea about the market potential for each geographical region based on the growth rate, macroeconomic parameters, consumer buying patterns, possible future trends, and market demand and supply scenarios. Competitive analysis is the major feature of any market research report, and hence Rare Disease Genetic Testing Market report covers many points including strategic profiling of key players in the market, analyse core competencies of key players, and draw a competitive landscape for the Rare Disease Genetic Testing industry. Different components which are in charge of market development, has been analyzed clearly in this report.

A reliable Rare Disease Genetic Testing Market report conducts the market overview with respect to general market conditions, market improvement, market scenarios, development, cost and profit of the specified market regions, position and comparative pricing between major players. The report involves the market drivers and limitations which are obtained from SWOT analysis. By working with a number of steps of collecting and analysing market data, this finest Rare Disease Genetic Testing Market research report is framed with the expert team. The large scale Rare Disease Genetic Testing Market report comprises of various segments linked to Rare Disease Genetic Testing industry and market with comprehensive research and analysis.

Rare disease genetic testing market is expected to gain market growth in the forecast period of 2020 to 2027. Data Bridge Market Research analyses the market to account to grow at a CAGR of 8.30% in the above-mentioned forecast period. The increase in the facilities for patients affected by rare diseases has been directly impacting the growth of rare disease genetic testing market.

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GlobalRare Disease Genetic TestingMarket Scope and Market Size

Rare disease genetic testing market is segmented on the basis of disease type, technology, specialty and end use. The growth amongst these segments will help you analyze meager growth segments in the industries, and provide the users with valuable market overview and market insights to help them in making strategic decisions for identification of core market applications.

Rare Disease Genetic Testing Market Country Level Analysis:

The countries covered in the Rare Disease Genetic Testing Market report are U.S., Canada, Mexico in North America, Germany, Poland, Ireland, Italy, U.K., France, Spain, Netherland, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, New Zealand, Vietnam, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in Asia-Pacific (APAC), Brazil, Argentina, Chile, Rest of South America as a part of South America, U.A.E, Saudi Arabia, Egypt, Kuwait, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).

Check Table of Contents of This Report @ https://www.databridgemarketresearch.com/toc/?dbmr=global-rare-disease-genetic-testing-market

Leading Rare Disease Genetic Testing manufacturers/companies operating at both regional and global levels:

Quest Diagnostics, Inc., Centogene N.V., Eurofins Scientific, Strand Life Sciences, Ambry Genetics, PerkinElmer, Inc., Macrogen, Inc., Baylor Genetics, Color, Health Network Laboratories, L.P., Preventiongenetics, Progenity, Inc., Invitae Corporation, 3billion, Inc., Arup Laboratories, Coopersurgical, Inc., Fulgent Genetics, Myriad Genetics, Inc., Laboratory Corporation Of America Holdings and Opko Health, Inc., among other domestic and global players.

Key points of the report

Reasons for purchasing this Report

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Table Of Contents: Rare Disease Genetic Testing MarketPart 01: Executive Summary

Part 02: Scope Of The Report

Part 03: Research Methodology

Part 04: Market Landscape

Part 05: Pipeline Analysis

Part 06: Market Sizing

Part 07: Five Forces Analysis

Part 08: Market Segmentation

Part 09: Customer Landscape

Part 10: Regional Landscape

Part 11: Decision Framework

Part 12: Drivers And Challenges

Part 13: Market Trends

Part 14: Vendor Landscape

Part 15: Vendor Analysis

Part 16: Appendix

About Us:

Data Bridge Market Research set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge Market Research provides appropriate solutions to the complex business challenges and initiates an effortless decision-making process.

Data Bridge adepts in creating satisfied clients who reckon upon our services and rely on our hard work with certitude.We are content with our glorious 99.9 % client satisfying rates.

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Rare Disease Genetic Testing Market To Account To Grow At A CAGR Of 8.30% In The Forecast Period Of 2020 To 2027 | Top Companies- Quest Diagnostics,...

Neuroscience

Construction progresses on neuroscience research building – Washington University School of Medicine in St. Louis

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Project will be the largest in School of Medicines history

The neuroscience research buildings basement lies in a hole 25 feet deep and 400 feet long, dug at the southeast corner of Duncan and Newstead avenues. More than 106 drilled concrete piers have been poured, and the interior columns and floor in the western half of the basement have been completed.

Washington University School of Medicines eastern border began noticeably changing in April and will look strikingly different in 2023, when the neuroscience research building 11 stories tall and 609,000 square feet is complete. The building project, the largest in the medical schools history, will span almost a block in the 200-acre Cortex Innovation Community, one of the fastest-growing business, innovation and technology hubs in the United States.

The buildings basement lies in a hole 25 feet deep and 400 feet long, dug at the southeast corner of Duncan and Newstead avenues. More than 106 drilled concrete piers have been poured, and the interior columns and floor in the western half of the basement have been completed.

When the state-of-the art building at 4370 Duncan Ave. is finished, it will hold enough steel to stretch 2,125 miles, enough drywall to cover 31 football fields and enough concrete to fill 6,500 truckloads.

This building project will connect our campus core to the Cortex Innovation Community and define the eastern edge of the Medical Campus, said Melissa Hopkins, the schools assistant vice chancellor and assistant dean of operations and facilities. More importantly, it will bring together interdisciplinary neuroscience research and innovation at the School of Medicine.

To get an idea of the project, campus visitors can see a construction mock-up in front of the Couch Biomedical Research Building. Mock-ups generally are full-size representations of sections of proposed buildings, assembled to evaluate design and construction details. When the mock-up is complete, it will consist of two 20-foot structures. One of these structures will resemble the glass three-story lobby on the north side of the neuroscience research building.

Initially, 5 floors of the building will house 100 research teams in laboratory space, and additional shell space could be built out later for another 45 research teams. The building will feature a large seminar room on the first floor and a coffee shop with a rooftop terrace on the third floor. The terrace will provide a social space for employees and also be used for events.

In addition to the building, the project will include an 1,839-space parking garage, a pedestrian link connecting the St. Louis Childrens Hospital garage and a separate utility plant.

The building is the first facility on the Medical Campus to feature research neighborhoods on each floor to spur collaboration. The neighborhoods will be organized around research themes including addiction, neurodegeneration, sleep and circadian rhythm, synapse and circuits, and neurogenomics and neurogenetics that bring people together with common interests from multiple departments. These departments include neurology, neuroscience, neurosurgery, psychiatry and anesthesiology.

Hopkins said the school is working with design team members and local subcontractors to help ensure the project involves a diversified, local workforce. Several of the companies involved in the project are participating in an Entrepreneur Forum led by Washington University and McCarthy Building Companies. The forum was developed to support Minority Business Enterprise/Womens Business Enterprise contractors sustainable growth by providing networking, technical assistance and other support during the neuroscience research building project. As companies are awarded contracts, they are invited to join the forum, which meets monthly.

Additionally, several entrepreneurs are participating in a goal-oriented program involving representatives from the School of Medicine and McCarthy. The intent is to help boost minority-led companies by helping them define how they want to grow while working on the neuroscience research building project and to support them in such efforts. The aim goes beyond construction of the new building; its also to show support for and build relationships with the communitys less-established minority-led companies.

The School of Medicine is focused on ensuring that at the end of this project, we will not only have a state-of-the-art research hub but that we will have been a leader in the continued growth and prosperity of the St. Louis region by maximizing the participation of minority and women-owned companies and supporting efforts to ensure there is a diverse workforce on site, Hopkins said.

Sustainability also is key to the project, and the building is tracking to achieve Leadership in Energy and Environmental Design (LEED) Silver certification. LEED is a green building rating program that provides a framework for healthy, highly efficient and less expensive buildings.

Sophisticated mechanical systems will direct air flow and air exchanges to create a safe, healthy work environment and to reduce the amount of energy used in the building, according to Hopkins. This also is the first time one of the medical schools buildings will feature all LED light fixtures, noted for their energy efficiency.

The parking garage is on track to receive Parksmart certification, a rating system designed to advance sustainable mobility through smarter parking design and operation. The garage will feature racks for bicycle parking, electric vehicle charging stations and infrastructure to later add solar panels to the garage roof.

The buildings rooftop terrace will feature sustainable landscaping, including native plants for all seasons and trees that provide shade.

Overseeing a building project of this scope involves tracking multiple processes, juggling countless tasks and meeting changing deadlines each day. Steve Sobo, executive project manager, said viewing the process as a collection of small parts coming together, instead of as a whole, is essential. That way, its easier to handle as the project marches along, said Sobo, also senior technical director of capital projects and physical planning.

The architectural firms Perkins+Will and CannonDesign designed the project, and McCarthy Building Companies is overseeing construction.

To get an idea of the neuroscience research building project, campus visitors can see a construction mock-up in front of the Couch Biomedical Research Building.

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Construction progresses on neuroscience research building - Washington University School of Medicine in St. Louis

Neuroscience

Neuroscientists find a way to make object-recognition models perform better – MIT News

Computer vision models known as convolutional neural networks can be trained to recognize objects nearly as accurately as humans do. However, these models have one significant flaw: Very small changes to an image, which would be nearly imperceptible to a human viewer, can trick them into making egregious errors such as classifying a cat as a tree.

A team of neuroscientists from MIT, Harvard University, and IBM have developed a way to alleviate this vulnerability, by adding to these models a new layer that is designed to mimic the earliest stage of the brains visual processing system. In a new study, they showed that this layer greatly improved the models robustness against this type of mistake.

Just by making the models more similar to the brains primary visual cortex, in this single stage of processing, we see quite significant improvements in robustness across many different types of perturbations and corruptions, says Tiago Marques, an MIT postdoc and one of the lead authors of the study.

Convolutional neural networks are often used in artificial intelligence applications such as self-driving cars, automated assembly lines, and medical diagnostics. Harvard graduate student Joel Dapello, who is also a lead author of the study, adds that implementing our new approach could potentially make these systems less prone to error and more aligned with human vision.

Good scientific hypotheses of how the brains visual system works should, by definition, match the brain in both its internal neural patterns and its remarkable robustness. This study shows that achieving those scientific gains directly leads to engineering and application gains, says James DiCarlo, the head of MITs Department of Brain and Cognitive Sciences, an investigator in the Center for Brains, Minds, and Machines and the McGovern Institute for Brain Research, and the senior author of the study.

The study, which is being presented at the NeurIPS conference this month, is also co-authored by MIT graduate student Martin Schrimpf, MIT visiting student Franziska Geiger, and MIT-IBM Watson AI Lab Co-director David Cox.

Mimicking the brain

Recognizing objects is one of the visual systems primary functions. In just a small fraction of a second, visual information flows through the ventral visual stream to the brains inferior temporal cortex, where neurons contain information needed to classify objects. At each stage in the ventral stream, the brain performs different types of processing. The very first stage in the ventral stream, V1, is one of the most well-characterized parts of the brain and contains neurons that respond to simple visual features such as edges.

Its thought that V1 detects local edges or contours of objects, and textures, and does some type of segmentation of the images at a very small scale. Then that information is later used to identify the shape and texture of objects downstream, Marques says. The visual system is built in this hierarchical way, where in early stages neurons respond to local features such as small, elongated edges.

For many years, researchers have been trying to build computer models that can identify objects as well as the human visual system. Todays leading computer vision systems are already loosely guided by our current knowledge of the brains visual processing. However, neuroscientists still dont know enough about how the entire ventral visual stream is connected to build a model that precisely mimics it, so they borrow techniques from the field of machine learning to train convolutional neural networks on a specific set of tasks. Using this process, a model can learn to identify objects after being trained on millions of images.

Many of these convolutional networks perform very well, but in most cases, researchers dont know exactly how the network is solving the object-recognition task. In 2013, researchers from DiCarlos lab showed that some of these neural networks could not only accurately identify objects, but they could also predict how neurons in the primate brain would respond to the same objects much better than existing alternative models. However, these neural networks are still not able to perfectly predict responses along the ventral visual stream, particularly at the earliest stages of object recognition, such as V1.

These models are also vulnerable to so-called adversarial attacks. This means that small changes to an image, such as changing the colors of a few pixels, can lead the model to completely confuse an object for something different a type of mistake that a human viewer would not make.

As a first step in their study, the researchers analyzed the performance of 30 of these models and found that models whose internal responses better matched the brains V1 responses were also less vulnerable to adversarial attacks. That is, having a more brain-like V1 seemed to make the model more robust. To further test and take advantage of that idea, the researchers decided to create their own model of V1, based on existing neuroscientific models, and place it at the front of convolutional neural networks that had already been developed to perform object recognition.

When the researchers added their V1 layer, which is also implemented as a convolutional neural network, to three of these models, they found that these models became about four times more resistant to making mistakes on images perturbed by adversarial attacks. The models were also less vulnerable to misidentifying objects that were blurred or distorted due to other corruptions.

Adversarial attacks are a big, open problem for the practical deployment of deep neural networks. The fact that adding neuroscience-inspired elements can improve robustness substantially suggests that there is still a lot that AI can learn from neuroscience, and vice versa, Cox says.

Better defense

Currently, the best defense against adversarial attacks is a computationally expensive process of training models to recognize the altered images. One advantage of the new V1-based model is that it doesnt require any additional training. It is also better able to handle a wide range of distortions, beyond adversarial attacks.

The researchers are now trying to identify the key features of their V1 model that allows it to do a better job resisting adversarial attacks, which could help them to make future models even more robust. It could also help them learn more about how the human brain is able to recognize objects.

One big advantage of the model is that we can map components of the model to particular neuronal populations in the brain, Dapello says. We can use this as a tool for novel neuroscientific discoveries, and also continue developing this model to improve its performance under this challenging task.

The research was funded by the PhRMA Foundation Postdoctoral Fellowship in Informatics, the Semiconductor Research Corporation, DARPA, the MIT Shoemaker Fellowship, the U.S. Office of Naval Research, the Simons Foundation, and the MIT-IBM Watson AI Lab.

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Neuroscientists find a way to make object-recognition models perform better - MIT News

Neuroscience

CANAQUEST ANNOUNCES MENTABINOL A SCIENTIFIC DISCOVERY, AS PUBLISHED IN THE JOURNAL OF NEUROSCIENCE – GlobeNewswire

CanaQuest Medical Corp

MENTABINOL SCIENTIFIC DISCOVERY AS PUBLISHED IN THE JOURNAL OF NEUROSCIENCE

TORONTO, Dec. 03, 2020 (GLOBE NEWSWIRE) -- CANAQUEST MEDICAL CORP (OTC Markets: CANQF) (the "Company" or CanaQuest), a Life Science/Pharmaceutical Company developing health products utilizing cannabinoid molecules and other botanical compounds (pharmaceutical grade), today announced that The Journal of Neuroscience has published the findings of Western Universitys research leading to the discovery of the Mentabinol, a patented THC based formulation & L-theanine, a compound derived from Green Tea leaves.

The Journal of Neuroscience, a world leading research publication, is a weekly peer-reviewed scientific journal published by the Society for Neuroscience. It covers empirical research on all aspects of neuroscience.

This research showed that when the THC based formulation was combined with the compound L-theanine it protected rats against the negative side-effects that can result from straight THC.

What we found was that by administering L-theanine along with the THC based formulation, we were able to block several side effects of THC exposure, including changes to schizophrenia-related neurochemical pathways, and abnormalities in behaviors including cognitive and emotional disturbances, said Dr. Steven Laviolette, a professor at Westerns Schulich School of Medicine & Dentistry.

We started looking at L-theanine because there was strong evidence that it has neuroprotective properties, and previous studies havent shown any toxicity effects in humans or animals, said Marta De Felice, PhD, a postdoctoral associate in Laviolettes lab and first author on the study.

It was exciting to see the extent of those changes and we think this is really quite promising. The goal here is to produce a safer formulation for THC that is going to give the benefits without the negative psychiatric side effects. This will be especially beneficial for those who are taking THC for things like long-term pain, chemotherapy side-effects or reducing anxiety or depression. said Laviolette.

Western researchers believe this substance may mitigate this type of harm to chronic cannabis users. The team also concluded that their research provides evidence for combining the THC based formulations with L-theanine to make them safer for both recreational and medicinal use.

Laviolette emphasizes that the University research took place in pre-clinical animal models and he looks forward to moving onto future human clinical trials to study and determine efficacy on humans.

Paul Ramsay, CanaQuests President/Co-Founder, added, We believe this important research discovery can help lead to a safer alternative for THC consumers, with our Mentabinol product providing a viable treatment to help address and alleviate the opioid crisis.

About CanaQuest Medical Corp:

CanaQuest Medical Corp is a Life Science/Pharmaceutical Company developing health products utilizing cannabinoid molecules and other botanical compounds (pharmaceutical grade). The Company is the industry partner for research and product development with Dr. Steven Laviolette, a professor and neuroscientist, and his 13 team members, at Western University. The Companys research is focused on the use of cannabinoids for the development of novel pharmacotherapies for mental health, such as anxiety, depression, addiction, schizophrenia, and Post Traumatic Stress Disorder PTSD. CanaQuest has identified the regulatory pathways to obtain Drug Identification Numbers (DINs) for its two Master Formations, MentanineRx and MentabinolRx in Canada and the USA.

CanaQuest will be selling both products through its wholly owned subsidiary, ADC BioMedical Corp, which was awarded a Cannabis Medical Sales, Import/Export License, from Health Canada under the Cannabis Act. Licenced GMP Contract Manufacturers in Canada and the USA, capable of formulating, processing, and packaging, have been selected for production and distribution. The Company won the Go Global Awards, 2019, "Business of the Year Category of Life Science, presented by the International Trade Council.

For a copy of the Journal Article, visit The study was published in The Journal of Neuroscience. (jneurosci.org)

For a short video on the research, visit https://www.youtube.com/watch?v=O_D4wkHHbDg

For more information on CanaQuest, visit http://www.canaquest.com

About Dr. Steven Laviolette:

The investigator leading the research is Dr. Steven Laviolette, a Professor and Neuroscientist in the Schulich School of Medicine & Dentistry at Western University in London, Ontario. Dr. Laviolette is a leader in the study of cannabinoids in mental health and was recently awarded Faculty Scholar status at Western University. Dr. Laviolettes research team has previously made numerous fundamental discoveries related to how cannabinoids impact and may serve as treatments for mental health disorders including schizophrenia, depression, post-traumatic stress disorder and anxiety. Dr. Laviolettes primary research focus is in characterizing how specific phytochemical derivatives of cannabis may interact with specific brain pathways and molecular mechanisms whereby they may improve symptoms associated with various mental health disorders. Research from Dr. Laviolettes team has been published in the top tier of neuroscience and psychiatry journals in the world. The following is a link to Dr. Laviolettes profile on the Western University website. https://www.schulich.uwo.ca/about/news/2020/december/research_news_molecule_found_in_green_tea_may_block_negative_effects_of_chronic_cannabis_use.html

FORWARD-LOOKING STATEMENTS

This news release contains "forward-looking statements" as that term is defined in Section 27A of the Securities Act and Section 21E of the Securities Exchange Act of 1934, as amended. Statements in this press release which are not purely historical are forward-looking statements and include any statements regarding beliefs, plans, expectations, or intentions regarding the future. Such forward-looking statements include, among other things, use of proceeds and the development, costs, and results of current or future actions and opportunities in the sector. Actual results could differ from those projected in any forward-looking statements due to numerous factors. Such factors include, among others, the inherent uncertainties associated with new projects and development stage companies, our ability to raise the additional funding we will need to continue to pursue our exploration and development program, and our ability to retain important members of our management team and attract other qualified personnel. These forward-looking statements are made as of the date of this news release, and we assume no obligation to update the forward-looking statements, or to update the reasons why actual results could differ from those projected in the forward-looking statements. Although we believe that any beliefs, plans, expectations, and intentions contained in this press release are reasonable, there can be no assurance that any such beliefs, plans, expectations, or intentions will prove to be accurate. Investors should consult all the information set forth herein and should also refer to the risk factors disclosure outlined in our annual report on Form 10-K for the most recent fiscal year, our quarterly reports on Form 10-Q and other periodic reports filed from time-to-time with the Securities and Exchange Commission and OTC Markets.

CANAQUEST CONTACT:Paul Ramsay, Co-Founder & PresidentCanaQuest Medical Corppaul@canaquest.com: Tel.: 416-704-3040

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CANAQUEST ANNOUNCES MENTABINOL A SCIENTIFIC DISCOVERY, AS PUBLISHED IN THE JOURNAL OF NEUROSCIENCE - GlobeNewswire

Neuroscience

Making Connections: Psychologist explores the neuroscience of creativity – Penn State News

Is there anything more mysterious or human than the creative impulse? Whatever the field of endeavor: music, art, science, business What accounts for the inspired burst of innovation? The spark that flits to flame and lights the way to something entirely new?

Roger Beaty became interested in this question as an undergraduate, in a class that explored the psychology of genius. An amateur jazz pianist, he was already well-versed in improvisation. But this was the first time I realized that you could study creativity scientifically, he remembers. Combing through case studies of Picasso and the Beatles, following in their gigantic footprints, was a way toward understanding why some people are more creative than others.

Roger Beaty, anamateur jazz pianist, plays a Miles Davis piece on the keyboard in his lab.

There are several cognitive processes involved. Memory is a crucial one, says Beaty, now an assistant professor of psychology at Penn State.

Memory is what we already know. Creativity involves going beyond what we know but if we dont know anything, we cant create anything new," said Beaty.

Whats really relevant, he said, is the organization of memory, how a persons brain catalogs disparate concepts and experiences in order to facilitate making connections. Its an ability that varies between individuals.

Also important is the ability to focus, to narrow ones attention to the task at hand. But focus needs to be balanced with spontaneity, Beaty said. Creative people tend to be open to experience, to seeing things in new ways.

These processes and others all have their roles to play. But how much does each contribute to an individuals creativity? Is there something noticeably different going on inside the head of an innovator? How does creativity happen in the brain?

Wired differently

The neuroscience of creativity is an emerging field that has attracted researchers from several disciplines, but it can seem an odd combination. How do you fix a thing as ephemeral as creativity? How pin the butterfly of a new idea to the realm of neurons and physiology?

First, Beaty said, you have to agree on a definition. Researchers in the field generally accept that in order to be considered creative, an idea must be both new and useful.

Pure novelty is not enough, he said, even if usefulness in a domain like abstract art is not so clear cut. Creativity is essentially the solving of a problem, even if its a problem that no one knew existed.

This small sampling from thousands of drawings shows a range of responses to a creativity test administered in psychologist Roger Beatys lab. Participants given a prompt were asked to complete the drawing with whatever came to mind.

A participant's response to a creativity test administered in psychologist Roger Beatys lab. Participants given a prompt were asked to complete the drawing with whatever came to mind.

IMAGE: courtesy Roger Beaty

As part of a creativity test administered in psychologist Roger Beatys lab, participants were given this prompt and asked to complete the drawing with whatever came to mind.

IMAGE: courtesy Roger Beaty

A participant's response to a creativity test administered in psychologist Roger Beatys lab. Participants given a prompt were asked to complete the drawing with whatever came to mind.

IMAGE: courtesy Roger Beaty

A participant's response to a creativity test administered in psychologist Roger Beatys lab. Participants given a prompt were asked to complete the drawing with whatever came to mind.

IMAGE: courtesy Roger Beaty

A participant's response to a creativity test administered in psychologist Roger Beatys lab. Participants given a prompt were asked to complete the drawing with whatever came to mind.

IMAGE: courtesy Roger Beaty

A participant's response to a creativity test administered in psychologist Roger Beatys lab. Participants given a prompt were asked to complete the drawing with whatever came to mind.

IMAGE: courtesy Roger Beaty

A participant's response to a creativity test administered in psychologist Roger Beatys lab. Participants given a prompt were asked to complete the drawing with whatever came to mind.

IMAGE: courtesy Roger Beaty

A participant's response to a creativity test administered in psychologist Roger Beatys lab. Participants given a prompt were asked to complete the drawing with whatever came to mind.

IMAGE: courtesy Roger Beaty

To measure creativity in individuals, researchers employ various tests. One requires giving a study participant pairs of randomly-selected words shoe and door, say, or rowboat and parrot and asking them to rate how closely these words are related to one another.

People who are more creative are able to see connections between things that might seem unrelated, Beaty explained.

Another test of divergent thinking asks participants to find new uses for common objects, like a sock or a brick. One creative person, Beaty reported, suggested using a sock as a water-filtration system.

Things start to get really interesting when people perform these tasks while researchers observe their brain activity via a functional MRI scan, which provides a real-time image of blood flow to various parts of the brain.

In a study published in theProceedings of the National Academy of Sciences (PNAS) in 2018, Beaty and colleagues asked 163 people to complete an alternate uses task while in the scanner. Noting the areas that were lighting up in participants brains, indicating activity, they computed the linkages between these regions. Thus for each individual they were able to create a map of connectivity that could be related to performance of the task at hand essentially a map of creative thinking.

This next step was even more revealing. The researchers put the brain-connectivity patterns of the people whose answers on the test were deemed most creative into a computer model, then brought in a fresh set of participants to take the test. Just from comparing a new persons connectivity patterns with the model, they found, they could predict what that individuals creativity score would be.

Detail from a figure in Roger Beaty's PNAS paper shows functional brain networks associated with high-creative thinking ability.The red lines on the brain represent connections predictive of creativity scores and the dots represent brain regions: the larger the dot, the more predictive connections. Regions of the default,executivecontrol, and salience networks are indicated within this larger network by the larger dots.The strengthof connections between these three regions predicted people's ability to think of creative uses for test objects.

IMAGE: courtesy Roger Beaty

Ultimately, Beaty said, the study pinpointed three primary networks in the brain that are involved in creative thinking. The first, called the default network, is the area that activates when a person is relaxing, daydreaming, thinking of nothing in particular.

Its the place for spontaneous ideas, said Beaty. Its also strongly related to memory.

The second network is defaults opposite, the executive control network.Its involved in focusing our attention to accomplish challenging tasks, he said.

The thing about these two networks is they typically dont work together, he added. If your mind is wandering you dont need focused attention, and when youre focusing you dont want spontaneous thoughts slipping in. Its kind of an antagonistic relationship.

For creativity to happen, however, the two have to learn to get along. Its the interplay between them, in fact, that makes the magic: an iterative process between idea generation and evaluation. Thats where a third player, the salience network, comes in, acting as a kind of toggle between them.

All three of these networks, Beaty said, become active during a creative task. The degree of a persons creativity depends on the strength of connections between them.

Can creativity be taught?

Its tempting to conclude that creative peoples brains are simply wired differently. The question then becomes: Is that wiring fixed forever? Might it be changeable? Can a persons creativity be improved? Once thePNASstudy was published, Beaty said, That was the first thing people wanted to know.

The popularity of creativity workshops for business leaders and aspiring artists would seem to suggest that creative potential can be developed, or at least unlocked. But can those brain connections actually be strengthened? Its an open question, and one that Beaty and his colleagues now have NSF funding to try to answer.

Is scientific creativity different from the artistic kind? Are there separate flavors of creativity?

The context for their new study is STEM education. In particular, the researchers will look at whether scientific creativity can be fostered in college students. Their plan is to scan the brains of incoming first-year students, then scan again at intervals after participants have had training in STEM fields, checking to see if connections are strengthened over time. But first we have to come up with a good test of scientific creativity, Beatty said.

Which raises another question: Is scientific creativity different from the artistic kind? Is either of these distinct from garden-variety problem-solving? Are there separate flavors of creativity?

There are some general traits that seem to be shared, Beaty said. Flexibility of thinking, the ability to make connections, including the ability to draw analogies, a subject he investigated as a graduate student. Then you have to have the domain-specific training, the 10,000 hours people talk about. Alas, mastery of a subject, while a prerequisite for creativity, is no guarantee.

A test of specifically scientific creativity, he suggests, might include things like hypothesis generation.

The ability to come up with good research questions, experimental design," said Beaty. "The sorts of thing Id like to be better at myself, honestly.

Once he and his colleagues have a test they are happy with, and if they do see connectivity changes over time, the researchers plan to turn their focus to ways of enhancing scientific creativity in K-12 classrooms.

Humans and machines

Its an ambitious program, given the challenges built into studying something so elusive.

One problem is the sheer awkwardness of trying to capture the creative process: Lying in a thrumming MRI machine is not very conducive to writing poetry or composing music. To get around this, Beaty and other researchers have rigged up keyboards and drawing pads with non-metal components to make them MRI-compatible. Even with these enhancements, he acknowledges, creativity doesnt always happen on demand.

An MRI-compatible drawing pad and stylus allow participants to create pictures while their brains are being scanned to reveal regions of activity.

Theres also the difficulty of proving causality. The connectivity patterns were studying are correlated but we dont know if there is causality, Beaty explained. Combining fMRI with a technique called transcranial electrical stimulation may help with this: By stimulating the brain with very mild currents through the scalp, he and his team may be able to directly induce increased neuron activity in specific brain regions, then measure the effects on performance.

Yet another challenge is the subjectivity of human testers assigning scores for creativity. Its not like determining whether someone got a correct answer on a memory test, Beaty said. People vary quite a bit in what they think is creative.

Training helps to standardize scoring. But Beaty also relies on machine-learning methods like latent semantic analysis, an algorithm that finds word-use patterns in blocks of text and assigns probability to the occurrence of unusual pairings. It turns out fortunately that the values you get from these text analyses correlate fairly well with human readings, he said.

In fact, machine learning and artificial intelligence are making rapid inroads in the science of creativity, he added. Some of his colleagues are working on co-creative agents, computer programs that work with human partners to come up with new ideas. Others study generative adversarial networks, or GANs, that pit powerful clusters of computers known as neural networks against one another, mimicking the creative back-and-forth of idea generation and evaluation. Just last year, a pair of GANs produced a painting that so successfully imitated the work of an Old Master it was deemed indistinguishable, and sold at auction for half a million dollars.

Is this, then, the future for this quintessentially human quality? Will we one day be outsourcing the mystery of creativity to machines?

Thats a question thats not really settled yet, Beaty said with the hint of a smile. But I think theres more time for us before we completely throw in the towel.

The rest is here:
Making Connections: Psychologist explores the neuroscience of creativity - Penn State News

Neuroscience

Neuroscience Antibodies and Assays Market 2027 In-Depth Coverage And Various Important Aspects – Cheshire Media

DataIntelo, the fastest growing market research company, has published a report on the Neuroscience Antibodies and Assays market. This market report provides a holistic scope of the market which includes future supply and demand scenarios, changing market trends, high growth opportunities, and in-depth analysis of the future market prospects. The report covers the competitive data analysis of the emerging and prominent players of the market. Along with this, it provides comprehensive data analysis on the risk factors, challenges, and possible new market avenues.

The report has been prepared with the help of a robust research methodology to cover the market in a detailed manner. To publish a top-notch Global Neuroscience Antibodies and Assays Market report, the market report has undergone extensive primary and secondary research. The dedicated research team conducted interviews with the delegated industry experts to lay out a complete overview of the market. This market research report covers the product pricing factors, revenue drivers, and growth. Furthermore, it can possibly assist the new entrants and even the existing industry players to tailor a strategic business strategy for their products.

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Impact of COVID-19 to the Neuroscience Antibodies and Assays Report

This coronavirus outbreak has led various industry players to change business strategies and innovate their products. Moreover, it has created lucrative opportunities and few fallbacks that has revamped the overall industry. This report has integrated the data influenced by the COVID-19 effect and provided granular analysis on what market segments would play a crucial role in the growth of the Neuroscience Antibodies and Assays market. It also includes insights into the successful strategies implemented by the leading players to stay ahead in the competition.

The market research team has been closely monitoring the market since 2015 and has covered the wide spectrum of the market to provide insightful data for the forecast period 2020-2027. DataIntelo has provided crucial data in a graphical representation with the help of tables, bar graphs, pie charts, histograms, and infographics. To give a detailed analysis of the market, the market segments have been fragmented into sub-segments. The segments drivers, challenges, and restraints are also considered which is vital for the market growth. Besides this, it also covers the impacts of government regulation policies and regulations on the market.

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5 Reasons to Choose DataIntelo to Buy This Market Report

Market Segmentation Covered in the Report

By Product Type

ConsumablesInstruments

By Applications

Pharmaceutical & Biotechnology CompaniesAcademic & Research InstitutesHospitals & Diagnostic Centers

By Regional Analysis

Asia Pacific: China, Japan, India, and Rest of Asia PacificEurope: Germany, the UK, France, and Rest of EuropeNorth America: The US, Mexico, and CanadaLatin America: Brazil and Rest of Latin AmericaMiddle East & Africa: GCC Countries and Rest of Middle East & Africa

Competitive Landscape

The major players of the Neuroscience Antibodies and Assays market are:

Thermo FisherAbcamBio-RadMerckCell Signaling TechnologyGenscriptRockland ImmunochemicalsBioLegendSanta Cruz BiotechnologyRocheSiemens

*Note: Additional companies detailed analysis can be added in the report.

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Table of Content of the Report

Executive Summary

Assumptions and Acronyms Used

Research Methodology

Neuroscience Antibodies and Assays Market Overview

Global Neuroscience Antibodies and Assays Market Analysis and Forecast by Type

Global Neuroscience Antibodies and Assays Market Analysis and Forecast by Application

Global Neuroscience Antibodies and Assays Market Analysis and Forecast by Sales Channel

Global Neuroscience Antibodies and Assays Market Analysis and Forecast by Region

North America Neuroscience Antibodies and Assays Market Analysis and Forecast

Latin America Neuroscience Antibodies and Assays Market Analysis and Forecast

Europe Neuroscience Antibodies and Assays Market Analysis and Forecast

Asia Pacific Neuroscience Antibodies and Assays Market Analysis and Forecast

Asia Pacific Neuroscience Antibodies and Assays Market Size and Volume Forecast by Application

Middle East & Africa Neuroscience Antibodies and Assays Market Analysis and Forecast

Competition Landscape

About the company

DataIntelo is the largest aggregator of the market research report in the industry with more than 800 global clients. The company has extensively invested in the research analysts training and programs to keep the analyst tapped with the best industry standards and provide the clients with the utmost experience. Our dedicated team has been collaborating with industry experts to give out the precise data and figures related to the industry. It conducts primary research, secondary research, and consumer surveys to provide an in-depth analysis of the market. The market research firm has worked in several business verticals and has been successful to earn high credentials over time.

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Neuroscience Antibodies and Assays Market 2027 In-Depth Coverage And Various Important Aspects - Cheshire Media

Neuroscience

Has Neuroscience Proved That the Mind Is Just the Brain? – Walter Bradley Center for Natural and Artificial Intelligence

Last month, materialist neurologist Steven Novella made a rather astonishing claim in a post at his Neurologica blog: A recent open-access study of learning and decision-making in mice shows that the human mind is merely what the human brain does. Thats a lot for mice to prove.

In the study, the mice were trained to choose holes from which food is provided. Their brain activity was measured as they learned and decided which holes were best. The research looks specifically at quick and intuitive decision-making vs. decision-making that is slower and involves analysis of the situation. The investigators found that analysis-based decisions in the mice involve brain activity in the anterior cingulate cortex, which is a region of the brain in the fissure between the hemispheres.

From the standpoint of understanding the mind-brain relationship, this study is unremarkable. There is no doubt that thinking usually involves brain activity of some sort. Dualists (who think that the human mind uses the brain but is not identical with it) and materialists (who think that the mind is just what the brain does) have no disagreement here. This study details the correlative brain activity in mice, which is nice to know. But Dr. Novella takes this mundane study and draws a ludicrous conclusion:

I also feel obligated to point out that research like this completely destroys any notion of dualism that mental function exists somehow outside of or separate from the biological functioning of the brain. So far, the neuroscience hypothesis, that mental function is brain function, is working quite well. The brain is a complex biological computer, and we can figure out how it works by studying it. Even the most sophisticated cognitive processes, such as analytical decision-making, are demonstrably happening in the brain. Further, not only is there zero evidence for the dualist hypothesis, it is completely unnecessary, which is a fate in science even worse than being wrong.

Nonsense. Novella has been trying to sell his materialist ideology in the guise of neuroscience for more than a decade. This is only the most recent in a host of his bizarre claims, including his 2008 assertion that The materialist hypothesis that the brain causes consciousnesshas made a number of predictions, and every single prediction has been validated.

Thats a beautiful example of the Dunning-Kruger effect (people overestimate their mastery of a situation they dont understand.) In neuroscience, materialism is the answer only if you dont understand the questions. Here are some of them:

First, the philosophical issues. Its fair to say that the mind-brain problem is the most active and contentious field of philosophical inquiry in modern times. Philosopher David Chalmers has summarized the conundrum succinctly: there are two kinds of problems in understanding how the mind relates to the brain: the easy problems and the hard problem.

The easy problems are the ordinary scientific questions addressed by neuroscience, such as What part of the brain is active when I think? or What neurotransmitters are secreted when I feel anxious? The science may be difficult but the questions are tractable. Scientific research has the tools to address these easy problems.

The hard problem is another matter entirely: How do material brain states correspond to mental states? How could a certain concentration of chemicals in my brain cause me to do calculus? How could a specific electrochemical gradient in my brain make me feel sad? What is the link?

The answer, says Chalmers, is that we have no idea how brain states can cause thoughts. There is certainly no explanation provided by sciencethere is no mathematical formula that links neurons to thoughts and there is no reason to think there ever will be or ever can be. Brains are material, thoughts are immaterial, and there is no way imaginable to explain one by the other. This is why the hard problem (Chalmers himself coined the term in 1995) is hardits not even tractable by neuroscience, let alone solvable.

Other philosophers have used different terms for the hard problemJoseph Levine calls it the Explanatory Gap. But the problem is the same. There is no explanation for the mental on the basis of the physical. No physics or chemistry explains thought.

What is not in doubt is that, to some extent, thoughts correlate with brain activity. On that, dualists and materialists agree. But what is also not in doubt is that there is no materialist explanationand there cannot be a materialist explanation for the mind.

There are two general non-materialist ways of understanding the mind-brain relationship. Theres idealism, according to which, reality itself is a form of thought and human thought participates in it. That is a profound metaphysical perspective that offers much to admire both as a theory of mind and as a metaphysical basis for science, although in modern times it is (regrettably) not in vogue.

Alternatively, there are various kinds of dualismsubstance dualism, property dualism, Thomistic dualism to name a fewwhich offer coherent and scientifically consistent descriptions of the mind and brain. My own view is Thomistic dualism. But I acknowledge that idealism and other variants of dualism have undeniable strengths.

The neuroscience evidence for dualism is very strong. Many of the greatest neuroscientists of the past century have been dualists or idealists Charles Sherrington, Ramon y Cajal, Wilder Penfield, Benjamin Libet, Roger Sperry, and John Eccles, to name a few. The pioneering research of Wilder Penfield in neurosurgery for epilepsy strongly supported dualism. The research on the correlates between brain activity and will by Benjamin Libet supports a dualist interpretation of free will (Libet himself was a property dualist).

Roger Sperrys Nobel-prize winning research on split-brain patients clearly supports a non-materialist perspective. Sperry, whose philosophy I would describe as idealist, rejected the prevailing materialism common among neuroscientists:

[I rejected] the then prevalent mechanistic, materialistic, behavioristic, fatalistic, reductionistic view of the nature of mind and psyche. It was on this occasion that I openly changed my alignment from behaviorist materialism to antimechanistic and nonreductive mentalism

The emerging science of near-death experiences, as well as the evidence for mental activity even in the most profound states of coma, provide powerful evidence for the ability of the mind to function at least somewhat independently of the body. It can be argued that even the strong similarity between the ape brain and the human brain is evidence for dualism because the profound dissimilarity between the human mind and the ape mind cannot be readily explained on a material basis.

I offer a synopsis of the neuroscientific arguments for the immateriality of some kinds of thoughtabstract thought and free will here. But now, back to Steven Novella and the mice:

Dr. Novellas assertion that the study of brain activity in trained mice completely destroys any notion of dualism is abject nonsense. Novella gets the answers wrong because he doesnt understand the questions. Materialism is a woefully impoverished way to understand reality, and it is most clearly inadequate as a framework for neuroscience. To paraphrase philosopher Roger Scruton, Novellas materialist neuroscience is a vast collection of answers with no memory of the questions.

You may also enjoy these articles by Michael Egnor:

Why the mind cant just be the brain. Thinking it through carefully, the idea doesnt even make sense.

and

Is materialism falsifiable? Yes, easily. However, neurologist Steven Novella is sure that materialism is not falsifiable by science.

Read more:
Has Neuroscience Proved That the Mind Is Just the Brain? - Walter Bradley Center for Natural and Artificial Intelligence

Neuroscience

Materialist Neurologist: ‘The Mind is Simply What the Brain is Doing – Science Times

Early last month, Steven Novella, a materialist neurologist, made a somewhat surprising claim in his Neurologica blog, "A recent open-access study of learning and decision-making in mice shows that the human mind is merely what the human brain does. That's a lot for mice to prove."

In this research, the mice were trained to choose holes where food is placed. The activity of mice's brains was gauged as they learned and decided which holes were best.

Furthermore, thestudylooked particularly at "quick and intuitive decision-making" against slower decision-making. It also involved an evaluation of the situation.

In this research, it was discovered that analysis-based decisions in the mice encompassed brain activity in the anterior cingulate cortex, a brain's region in the fissure between the hemispheres.

(Photo : Tibor Janosi Mozes on Pixabay)A recent open-access study of learning and decision-making in mice shows that the human mind is merely what the human brain does.

From the perspective of understanding the link between mind and brain, this research is said to be unremarkable. Undoubtedly, that perception usually engages activity of the brain of some sort.

Meanwhile, dualists, those who think that the mind of a human is using the brain but is not the same as it, and materialists, who think that the mind is simply what the brain is doing, do not have any disagreement here.

In this research is a detailed correlation of activity of the brain in mice may be nice to know. However, Novella is taking his so-called unremarkable study and drawing whatMind Matters Newsdescribed as an "absurd conclusion."

Such a conclusion specifies that Novella feels obliged to emphasize that research like this totally destroys the idea of 'dualism,' that mental function exists, one way or another, outside of or independent from the brain's biological function.

So far, the materialist neurologist explained, the 'neuroscience' hypothesis, "that mental function is brain function is working quite well."

The brain,Novella, continued explaining, is a multifaceted biological computer, and they could discover how it works by investigating it.

He also concluded that even the most sophisticated cognitive processes like analytical decision-making, for one, are evidently occurring in the brain.

Moreover, aside from having zero-evidence for what the study describes as a dualist hypothesis, it is entirely unimportant, which is "a fate in science even worse than being wrong."

Novella has been attempting to sell his materialist ideology in the appearance of neuroscience for over 10 years now.

This study is just the most recent in a series of his unusual claims, which includes his claim in 2008 that the "materialist hypothesis, the brain causes consciousness," has made numerous predictions, and every single forecast has been verified.

That is an ideal example of theDunning-Kruger effectwhere individuals overestimate their expertise in an occurrence they do not understand. Specifically, in neuroscience, materialist ideology is the answer, only if one does not understand the question.

Novella's claimthat the research of brain activity, particularly in trained mice, totally destroys any idea of dualism is said to be hopelessly nonsense.

As how materialist ideology is described, Novella is getting the answers wrong as he does not understand the questions.

More so, to Roger Scruton, a paraphrase philosopher, the materialist neuroscience of Novella is an extensive collection of answers without memory of the questions.

ALSO READ: Study Finds Spending Long Time on Mobile Phone is Not Harmful to Mental Health

Check out more news and information onBrain Functionon Science Times.

Read more from the original source:
Materialist Neurologist: 'The Mind is Simply What the Brain is Doing - Science Times

Neuroscience

Global Neuroscience Antibodies and Assays Market Size, Comprehensive Analysis, Development Strategy, Future Plans and Industry Growth with High CAGR…

Global Neuroscience Antibodies and Assays Market Report, History and Forecast 2015-2026, Breakdown Data by Companies, Key Regions, Types and Application

The Lexis Business Insights added a new report Global Neuroscience Antibodies and Assays Market: Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2016 2024 in its database, which provides an expert and in-depth analysis of key business trends and future market development prospects, key drivers and restraints, profiles of major market players, segmentation and forecasting.

In 2020, the global Neuroscience Antibodies and Assays Market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2020-2025.

The global Neuroscience Antibodies and Assays Market report offers a complete overview of the Neuroscience Antibodies and Assays Market globally. It presents real data and statistics on the inclinations and improvements in global Neuroscience Antibodies and Assays Markets. It also highlights manufacturing, abilities & technologies, and unstable structure of the market. The global Neuroscience Antibodies and Assays Market report elaborates the crucial data along with all important insights related to the current market status.

The report additionally provides a pest analysis of all five along with the SWOT analysis for all companies profiled in the report. The report also consists of various company profiles and their key players; it also includes the competitive scenario, opportunities, and market of geographic regions. The regional outlook on the Neuroscience Antibodies and Assays market covers areas such as Europe, Asia, China, India, North America, and the rest of the globe.

Note In order to provide more accurate market forecast, all our reports will be updated before delivery by considering the impact of COVID-19.

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Top key players @ Thermo Fisher, Abcam, Bio-Rad, Merck, Cell Signaling Technology, Genscript, Rockland Immunochemicals, BioLegend, Santa Cruz Biotechnology, Roche, Siemens, and

The main goal for the dissemination of this information is to give a descriptive analysis of how the trends could potentially affect the upcoming future of Neuroscience Antibodies and Assays market during the forecast period. This markets competitive manufactures and the upcoming manufactures are studied with their detailed research. Revenue, production, price, market share of these players is mentioned with precise information.

Global Neuroscience Antibodies and Assays Market: Regional Segment Analysis

This report provides pinpoint analysis for changing competitive dynamics. It offers a forward-looking perspective on different factors driving or limiting market growth. It provides a five-year forecast assessed on the basis of how they Neuroscience Antibodies and Assays Market is predicted to grow. It helps in understanding the key product segments and their future and helps in making informed business decisions by having complete insights of market and by making in-depth analysis of market segments.

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What will the market size and the growth rate be in 2026?

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Who are the key vendors in the Global Neuroscience Antibodies and Assays Market?

What are the market opportunities and threats faced by the vendors in the Global Neuroscience Antibodies and Assays Market?

Trending factors influencing the market shares of the Americas, APAC, Europe, and MEA.

The report includes six parts, dealing with:

1.) Basic information;

2.) The Asia Neuroscience Antibodies and Assays Market;

3.) The North American Neuroscience Antibodies and Assays Market;

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6.) The report conclusion.

Market Dynamics

The report analyzes the factors impacting the growth and the current market trends influencing the global Neuroscience Antibodies and Assays market. Detailed pricing information with ex-factory prices of various products by key manufacturers form a crucial part of the report. Competition analysis, along with regional government policies affecting the Neuroscience Antibodies and Assays market provides a detailed overview of the current status and prospects of the market. The impact of the ever-growing global population, coupled with technological advancements affecting the global Neuroscience Antibodies and Assays market is also covered in the report.

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The report provides extensive information about the factors driving the global Neuroscience Antibodies and Assays market. Factors influencing the growth of the Neuroscience Antibodies and Assays market, along with technological advancements, are discussed extensively in the report. The current restraints of the market, limiting the growth and their future impact are also analyzed in the report. The report also discusses the impact of rising consumer demand, along with global economic growth on the Neuroscience Antibodies and Assays market.

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It helps in making informed business decisions by having complete insights of market and by making in-depth analysis of market segments

TABLE OF CONTENT:

1 Report Overview

2 Global Growth Trends

3 Market Share by Key Players

4 Breakdown Data by Type and Application

5 United States

6 Europe

7 China

8 Japan

9 Southeast Asia

10 India

11 Central & South America

12 International Players Profiles

13 Market Forecast 2019-2025

14 Analysts Viewpoints/Conclusions

15 Appendix

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Global Neuroscience Antibodies and Assays Market Size, Comprehensive Analysis, Development Strategy, Future Plans and Industry Growth with High CAGR...

Neuroscience

Caltech Continues the 2020"2021 Watson Lectures with David J. Anderson, Seymour Benzer Professor of Biology – Broadway World

On Wednesday, December 9 at 5 p.m. Pacific Time, David J. Anderson, Caltech's Seymour Benzer Professor of Biology; the Tianqiao and Chrissy Chen Institute for Neuroscience Leadership Chair; director of the Tianqiao and Chrissy Chen Institute for Neuroscience; and a Howard Hughes Medical Institute Investigator, continues the 2020-2021 Watson Lecture season by exploring "The Inner Life of the Brain: Fear, Sex, and Violence."

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Caltech Continues the 2020"2021 Watson Lectures with David J. Anderson, Seymour Benzer Professor of Biology - Broadway World