Category Archives: Neuroscience

Neuroscience

Impact Of Covid-19 on Neuroscience Market 2020 Industry Challenges, Business Overview and Forecast Research Study 2026 – Owned

Overview for Neuroscience Market Helps in providing scope and definitions, Key Findings, Growth Drivers, and Various Dynamics.

The global Neuroscience market focuses on encompassing major statistical evidence for the Neuroscience industry as it offers our readers a value addition on guiding them in encountering the obstacles surrounding the market. A comprehensive addition of several factors such as global distribution, manufacturers, market size, and market factors that affect the global contributions are reported in the study. In addition the Neuroscience study also shifts its attention with an in-depth competitive landscape, defined growth opportunities, market share coupled with product type and applications, key companies responsible for the production, and utilized strategies are also marked.

This intelligence and 2026 forecasts Neuroscience industry report further exhibits a pattern of analyzing previous data sources gathered from reliable sources and sets a precedented growth trajectory for the Neuroscience market. The report also focuses on a comprehensive market revenue streams along with growth patterns, analytics focused on market trends, and the overall volume of the market.

Moreover, the Neuroscience report describes the market division based on various parameters and attributes that are based on geographical distribution, product types, applications, etc. The market segmentation clarifies further regional distribution for the Neuroscience market, business trends, potential revenue sources, and upcoming market opportunities.

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Key players in the global Neuroscience market covered in Chapter 4:Xian Janssen Pharmaceutical Ltd.AstraZeneca plc.Qilu Pharmaceutical Co., Ltd.Huahai Pharmaceutical Co., Ltd.KRRPShandong Renhetang Pharmaceutical Co Ltd.Kanghong PharmaceuticalJiangsu Nhwa Pharmaceutical Co., Ltd

In Chapter 11 and 13.3, on the basis of types, the Neuroscience market from 2015 to 2026 is primarily split into:Anti-Parkinsons DrugsAlzheimer DiseasePsychotic DisordersEpileptic DisordersAutism Spectrum DisordersOthers

In Chapter 12 and 13.4, on the basis of applications, the Neuroscience market from 2015 to 2026 covers:HospitalsDiagnostic LaboratoriesResearch InstitutesOther

Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2015-2026) of the following regions are covered in Chapter 5, 6, 7, 8, 9, 10, 13:North America (Covered in Chapter 6 and 13)United StatesCanadaMexicoEurope (Covered in Chapter 7 and 13)GermanyUKFranceItalySpainRussiaOthersAsia-Pacific (Covered in Chapter 8 and 13)ChinaJapanSouth KoreaAustraliaIndiaSoutheast AsiaOthersMiddle East and Africa (Covered in Chapter 9 and 13)Saudi ArabiaUAEEgyptNigeriaSouth AfricaOthersSouth America (Covered in Chapter 10 and 13)BrazilArgentinaColumbiaChileOthers

The Neuroscience market study further highlights the segmentation of the Neuroscience industry on a global distribution. The report focuses on regions of North America, Europe, Asia, and the Rest of the World in terms of developing business trends, preferred market channels, investment feasibility, long term investments, and environmental analysis. The Neuroscience report also calls attention to investigate product capacity, product price, profit streams, supply to demand ratio, production and market growth rate, and a projected growth forecast.

In addition, the Neuroscience market study also covers several factors such as market status, key market trends, growth forecast, and growth opportunities. Furthermore, we analyze the challenges faced by the Neuroscience market in terms of global and regional basis. The study also encompasses a number of opportunities and emerging trends which are considered by considering their impact on the global scale in acquiring a majority of the market share.

The study encompasses a variety of analytical resources such as SWOT analysis and Porters Five Forces analysis coupled with primary and secondary research methodologies. It covers all the bases surrounding the Neuroscience industry as it explores the competitive nature of the market complete with a regional analysis.

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Some Point of Table of Content:

Chapter One: Report Overview

Chapter Two: Global Market Growth Trends

Chapter Three: Value Chain of Neuroscience Market

Chapter Four: Players Profiles

Chapter Five: Global Neuroscience Market Analysis by Regions

Chapter Six: North America Neuroscience Market Analysis by Countries

Chapter Seven: Europe Neuroscience Market Analysis by Countries

Chapter Eight: Asia-Pacific Neuroscience Market Analysis by Countries

Chapter Nine: Middle East and Africa Neuroscience Market Analysis by Countries

Chapter Ten: South America Neuroscience Market Analysis by Countries

Chapter Eleven: Global Neuroscience Market Segment by Types

Chapter Twelve: Global Neuroscience Market Segment by Applications12.1 Global Neuroscience Sales, Revenue and Market Share by Applications (2015-2020)12.1.1 Global Neuroscience Sales and Market Share by Applications (2015-2020)12.1.2 Global Neuroscience Revenue and Market Share by Applications (2015-2020)12.2 Hospitals Sales, Revenue and Growth Rate (2015-2020)12.3 Diagnostic Laboratories Sales, Revenue and Growth Rate (2015-2020)12.4 Research Institutes Sales, Revenue and Growth Rate (2015-2020)12.5 Other Sales, Revenue and Growth Rate (2015-2020)

Chapter Thirteen: Neuroscience Market Forecast by Regions (2020-2026) continued

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List of tablesList of Tables and FiguresTable Global Neuroscience Market Size Growth Rate by Type (2020-2026)Figure Global Neuroscience Market Share by Type in 2019 & 2026Figure Anti-Parkinsons Drugs FeaturesFigure Alzheimer Disease FeaturesFigure Psychotic Disorders FeaturesFigure Epileptic Disorders FeaturesFigure Autism Spectrum Disorders FeaturesFigure Others FeaturesTable Global Neuroscience Market Size Growth by Application (2020-2026)Figure Global Neuroscience Market Share by Application in 2019 & 2026Figure Hospitals DescriptionFigure Diagnostic Laboratories DescriptionFigure Research Institutes DescriptionFigure Other DescriptionFigure Global COVID-19 Status OverviewTable Influence of COVID-19 Outbreak on Neuroscience Industry DevelopmentTable SWOT AnalysisFigure Porters Five Forces AnalysisFigure Global Neuroscience Market Size and Growth Rate 2015-2026Table Industry NewsTable Industry PoliciesFigure Value Chain Status of NeuroscienceFigure Production Process of NeuroscienceFigure Manufacturing Cost Structure of NeuroscienceFigure Major Company Analysis (by Business Distribution Base, by Product Type)Table Downstream Major Customer Analysis (by Region)Table Xian Janssen Pharmaceutical Ltd. ProfileTable Xian Janssen Pharmaceutical Ltd. Production, Value, Price, Gross Margin 2015-2020Table AstraZeneca plc. ProfileTable AstraZeneca plc. Production, Value, Price, Gross Margin 2015-2020Table Qilu Pharmaceutical Co., Ltd. ProfileTable Qilu Pharmaceutical Co., Ltd. Production, Value, Price, Gross Margin 2015-2020Table Huahai Pharmaceutical Co., Ltd. ProfileTable Huahai Pharmaceutical Co., Ltd. Production, Value, Price, Gross Margin 2015-2020Table KRRP ProfileTable KRRP Production, Value, Price, Gross Margin 2015-2020Table Shandong Renhetang Pharmaceutical Co Ltd. ProfileTable Shandong Renhetang Pharmaceutical Co Ltd. Production, Value, Price, Gross Margin 2015-2020Table Kanghong Pharmaceutical ProfileTable Kanghong Pharmaceutical Production, Value, Price, Gross Margin 2015-2020Table Jiangsu Nhwa Pharmaceutical Co., Ltd ProfileTable Jiangsu Nhwa Pharmaceutical Co., Ltd Production, Value, Price, Gross Margin 2015-2020Figure Global Neuroscience Sales and Growth Rate (2015-2020)Figure Global Neuroscience Revenue ($) and Growth (2015-2020)Table Global Neuroscience Sales by Regions (2015-2020)Table Global Neuroscience Sales Market Share by Regions (2015-2020)Table Global Neuroscience Revenue ($) by Regions (2015-2020)Table Global Neuroscience Revenue Market Share by Regions (2015-2020)Table Global Neuroscience Revenue Market Share by Regions in 2015Table Global Neuroscience Revenue Market Share by Regions in 2019Figure North America Neuroscience Sales and Growth Rate (2015-2020)Figure Europe Neuroscience Sales and Growth Rate (2015-2020)Figure Asia-Pacific Neuroscience Sales and Growth Rate (2015-2020)Figure Middle East and Africa Neuroscience Sales and Growth Rate (2015-2020)Figure South America Neuroscience Sales and Growth Rate (2015-2020)Figure North America Neuroscience Revenue ($) and Growth (2015-2020)Table North America Neuroscience Sales by Countries (2015-2020)Table North America Neuroscience Sales Market Share by Countries (2015-2020)Figure North America Neuroscience Sales Market Share by Countries in 2015Figure North America Neuroscience Sales Market Share by Countries in 2019Table North America Neuroscience Revenue ($) by Countries (2015-2020)Table North America Neuroscience Revenue Market Share by Countries (2015-2020)Figure North America Neuroscience Revenue Market Share by Countries in 2015Figure North America Neuroscience Revenue Market Share by Countries in 2019Figure United States Neuroscience Sales and Growth Rate (2015-2020)Figure Canada Neuroscience Sales and Growth Rate (2015-2020)Figure Mexico Neuroscience Sales and Growth (2015-2020)Figure Europe Neuroscience Revenue ($) Growth (2015-2020)Table Europe Neuroscience Sales by Countries (2015-2020)Table Europe Neuroscience Sales Market Share by Countries (2015-2020)Figure Europe Neuroscience Sales Market Share by Countries in 2015Figure Europe Neuroscience Sales Market Share by Countries in 2019Table Europe Neuroscience Revenue ($) by Countries (2015-2020)Table Europe Neuroscience Revenue Market Share by Countries (2015-2020)Figure Europe Neuroscience Revenue Market Share by Countries in 2015Figure Europe Neuroscience Revenue Market Share by Countries in 2019Figure Germany Neuroscience Sales and Growth Rate (2015-2020)Figure UK Neuroscience Sales and Growth Rate (2015-2020)Figure France Neuroscience Sales and Growth Rate (2015-2020)Figure Italy Neuroscience Sales and Growth Rate (2015-2020)Figure Spain Neuroscience Sales and Growth Rate (2015-2020)Figure Russia Neuroscience Sales and Growth Rate (2015-2020)Figure Asia-Pacific Neuroscience Revenue ($) and Growth (2015-2020)Table Asia-Pacific Neuroscience Sales by Countries (2015-2020)Table Asia-Pacific Neuroscience Sales Market Share by Countries (2015-2020)Figure Asia-Pacific Neuroscience Sales Market Share by Countries in 2015Figure Asia-Pacific Neuroscience Sales Market Share by Countries in 2019Table Asia-Pacific Neuroscience Revenue ($) by Countries (2015-2020)Table Asia-Pacific Neuroscience Revenue Market Share by Countries (2015-2020)Figure Asia-Pacific Neuroscience Revenue Market Share by Countries in 2015Figure Asia-Pacific Neuroscience Revenue Market Share by Countries in 2019Figure China Neuroscience Sales and Growth Rate (2015-2020)Figure Japan Neuroscience Sales and Growth Rate (2015-2020)Figure South Korea Neuroscience Sales and Growth Rate (2015-2020)Figure Australia Neuroscience Sales and Growth Rate (2015-2020)Figure India Neuroscience Sales and Growth Rate (2015-2020)Figure Southeast Asia Neuroscience Sales and Growth Rate (2015-2020)Figure Middle East and Africa Neuroscience Revenue ($) and Growth (2015-2020) continued

About HongChun Research:HongChun Research main aim is to assist our clients in order to give a detailed perspective on the current market trends and build long-lasting connections with our clientele. Our studies are designed to provide solid quantitative facts combined with strategic industrial insights that are acquired from proprietary sources and an in-house model.

Contact Details:Jennifer GrayManager Global Sales+ 852 8170 0792[emailprotected]

NOTE: Our report does take into account the impact of coronavirus pandemic and dedicates qualitative as well as quantitative sections of information within the report that emphasizes the impact of COVID-19.

As this pandemic is ongoing and leading to dynamic shifts in stocks and businesses worldwide, we take into account the current condition and forecast the market data taking into consideration the micro and macroeconomic factors that will be affected by the pandemic.

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Impact Of Covid-19 on Neuroscience Market 2020 Industry Challenges, Business Overview and Forecast Research Study 2026 - Owned

Neuroscience

These Scientists Just Completed a 3D ‘Google Earth’ for the Brain – Singularity Hub

Human brain maps are a dime a dozen these days. Maps that detail neurons in a certain region. Maps that draw out functional connections between those cells. Maps that dive deeper into gene expression. Or even meta-maps that combine all of the above.

But have you ever wondered: how well do those maps represent my brain? After all, no two brains are alike. And if were ever going to reverse-engineer the brain as a computer simulationas Europes Human Brain Project is trying to doshouldnt we ask whose brain theyre hoping to simulate?

Enter a new kind of map: the Julich-Brain, a probabilistic map of human brains that accounts for individual differences using a computational framework. Rather than generating a static PDF of a brain map, the Julich-Brain atlas is also dynamic, in that it continuously changes to incorporate more recent brain mapping results. So far, the map has data from over 24,000 thinly sliced sections from 23 postmortem brains covering most years of adulthood at the cellular level. But the atlas can also continuously adapt to progress in mapping technologies to aid brain modeling and simulation, and link to other atlases and alternatives.

In other words, rather than just another human brain map, the Julich-Brain atlas is its own neuromapping APIone that could unite previous brain-mapping efforts with more modern methods.

It is exciting to see how far the combination of brain research and digital technologies has progressed, said Dr. Katrin Amunts of the Institute of Neuroscience and Medicine at Research Centre Julich in Germany, who spearheaded the study.

The Julich-Brain atlas embraces traditional brain-mapping while also yanking the field into the 21st century.

First, the new atlas includes the brains cytoarchitecture, or how brain cells are organized. As brain maps go, these kinds of maps are the oldest and most fundamental. Rather than exploring how neurons talk to each other functionallywhich is all the rage these days with connectome mapscytoarchitecture maps draw out the physical arrangement of neurons.

Like a census, these maps literally capture how neurons are distributed in the brain, what they look like, and how they layer within and between different brain regions.

Because neurons arent packed together the same way between different brain regions, this provides a way to parse the brain into areas that can be further studied. When we say the brains memory center, the hippocampus, or the emotion center, the amygdala, these distinctions are based on cytoarchitectural maps.

Some may call this type of mapping boring. But cytoarchitecture maps form the very basis of any sort of neuroscience understanding. Like hand-drawn maps from early explorers sailing to the western hemisphere, these maps provide the brains geographical patterns from which we try to decipher functional connections. If brain regions are cities, then cytoarchitecture maps attempt to show trading or other functional activities that occur in the interlinking highways.

You mightve heard of the most common cytoarchitecture map used today: the Brodmann map from 1909 (yup, that old), which divided the brain into classical regions based on the cells morphology and location. The map, while impactful, wasnt able to account for brain differences between people. More recent brain-mapping technologies have allowed us to dig deeper into neuronal differences and divide the brain into more regions180 areas in the cortex alone, compared with 43 in the original Brodmann map.

The new study took inspiration from that age-old map and transformed it into a digital ecosystem.

Work began on the Julich-Brain atlas in the mid-1990s, with a little help from the crowd.

The preparation of human tissue and its microstructural mapping, analysis, and data processing is incredibly labor-intensive, the authors lamented, making it impossible to do for the whole brain at high resolution in just one lab. To build their Google Earth for the brain, the team hooked up with EBRAINS, a shared computing platform set up by the Human Brain Project to promote collaboration between neuroscience labs in the EU.

First, the team acquired MRI scans of 23 postmortem brains, sliced the brains into wafer-thin sections, and scanned and digitized them. They corrected distortions from the chopping using data from the MRI scans and then lined up neurons in consecutive sectionspicture putting together a 3D puzzleto reconstruct the whole brain. Overall, the team had to analyze 24,000 brain sections, which prompted them to build a computational management system for individual brain sectionsa win, because they could now track individual donor brains too.

Their method was quite clever. They first mapped their results to a brain template from a single person, called the MNI-Colin27 template. Because the reference brain was extremely detailed, this allowed the team to better figure out the location of brain cells and regions in a particular anatomical space.

However, MNI-Colin27s brain isnt your or my brainor any of the brains the team analyzed. To dilute any of Colins potential brain quirks, the team also mapped their dataset onto an average brain, dubbed the ICBM2009c (catchy, I know).

This step allowed the team to standardize their results with everything else from the Human Connectome Project and the UK Biobank, kind of like adding their Google Maps layer to the existing map. To highlight individual brain differences, the team overlaid their dataset on existing ones, and looked for differences in the cytoarchitecture.

Based on structure alone, the brains were both remarkably different and shockingly similar at the same time. For example, the cortexesthe outermost layer of the brainwere physically different across donor brains of different age and sex. The region especially divergent between people was Brocas region, which is traditionally linked to speech production. In contrast, parts of the visual cortex were almost identical between the brains.

Rather than relying on the brains visible landmarks, which can still differ between people, the probabilistic map is far more precise, the authors said.

Whats more, the map could also pool yet unmapped regions in the cortexabout 30 percent or sointo gap maps, providing neuroscientists with a better idea of what still needs to be understood.

New maps are continuously replacing gap maps with progress in mapping while the process is captured and documented Consequently, the atlas is not static but rather represents a living map, the authors said.

Thanks to its structurally-sound architecture down to individual cells, the atlas can contribute to brain modeling and simulation down the lineespecially for personalized brain models for neurological disorders such as seizures. Researchers can also use the framework for other species, and they can even incorporate new data-crunching processors into the workflow, such as mapping brain regions using artificial intelligence.

Fundamentally, the goal is to build shared resources to better understand the brain. [These atlases] help usand more and more researchers worldwideto better understand the complex organization of the brain and to jointly uncover how things are connected, the authors said.

Image credit: Richard Watts, PhD, University of Vermont and Fair Neuroimaging Lab, Oregon Health and Science University

Continued here:
These Scientists Just Completed a 3D 'Google Earth' for the Brain - Singularity Hub

Neuroscience

Slow to adjust to the pandemic’s ‘new normal’? Don’t worry, your brain’s just learning new skills – The Conversation AU

As COVID-19 lockdowns were introduced, we all suddenly had to find new ways of doing things. Schooling shifted online, meetings moved to Zoom, workplaces brought in new measures and even social events have changed to minimise physical interactions.

Many of us have found it hard to adapt to these transformations in our lives. Our research into memory, learning, and decision-making suggests part of the reason is that, for our brains, the change didnt simply involve transferring existing skills to a new environment.

More often, our brains are in effect learning entirely new skills, such as how to conduct a meeting while your cat walks across your computer keyboard, or how to work while filtering out the sound of kids yelling in the garden.

However, our research may also offer some reassurance that in time we will come to terms with a new way of life.

Read more: How memories are formed and retrieved by the brain revealed in a new study

Our new research, published in Nature Neuroscience, offers some suggestions about why doing new things can initially be so difficult, especially in a new or changing environment, but gets easier over time. Our findings indicate our surroundings have a changing influence on our choices and actions over time, and our brains process them differently as well.

We taught rats how to perform new actions, such as pressing a lever for food, in one place. Next, we moved them to another room with different wallpaper, flooring, and odours.

We then asked them to perform the same actions to receive a reward, but they were no longer able to do so. It was as if the rats needed to recall all the details of the memory of learning the task to perform it correctly, including the seemingly irrelevant ones.

Things were different when we tested the rats again a week later. By this time they could make accurate choices in either environment.

We also found that if we inactivated the hippocampus, the part of the brain that encodes detailed memories of the environment, rats could no longer perform a task they had just learned. However, they could still accurately perform tasks they had learned some time ago.

Our findings suggest that with experience and time, theres a change in both the psychological mechanisms and the brain mechanisms of learning how to do new things and make choices.

While the hippocampus appears to be crucial for a brief period, it becomes less important as time goes on.

If even details that ultimately prove irrelevant are necessary for us to remember a new skill in the early stages of learning, this may help to explain why new behaviours can be so difficult to learn when our circumstances change. For our brains, working from home may be like learning a whole new job not just doing the same job in a new place.

But the good news is it gets easier. In the same way rats eventually adapt to a new environment, we humans can learn to work with Zoom calls and interrupting pets.

Read more: Depression damages parts of the brain, research concludes

These findings may also help us understand conditions in which the hippocampus is damaged, such as Alzheimers disease and other neurodegenerative disorders, as well as psychiatric disorders such as depression and substance abuse. In time, better understanding could lead to insight into how people with such diseases might regain some functionality.

The implications for humans do come with caveats, of course: our study was done in rats, not people. But if you have struggled to adapt to a new way of doing things during this pandemic, we hope that it is of some comfort to know you are not alone. Rats, too, struggle to learn how to do new things in new places but it does get easier over time.

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Slow to adjust to the pandemic's 'new normal'? Don't worry, your brain's just learning new skills - The Conversation AU

Neuroscience

Kernel raises $53M to expand access to its Neuroscience as a Service platform – VatorNews

The company was founded by Braintree's Bryan Johnson

Kernelis a company pioneering a new space:Neuroscience as a Service (NaaS), in which it noninvasively records brain activity, allowing its customers to measure and quantify cognition on-demand.

It's a fairly new technology, and it's caught the interest of investors, who just poured $53 million into the company, it was announced on Thursday. The round was led by General Catalyst, with participation from Khosla Ventures, Eldridge, Manta Ray Ventures, Tiny Blue Dot and Bryan Johnson, founder and CEO of Kernel.

While this is being called a Series C round, it's actually the first outside funding the company has taken; until now, it had raised $54 million, all from Johnson's own pocket, bringing its total funding to $107 million. Johnson was previously the founder, chairman and CEO of payment company Braintree, which was acquired by eBay for $800 million in 2013.

Founded in 2016, Kernel's platform is powered by two brain recording technologies: one is called "Flux," which is short for "magnetic flux." It detects the magnetic fields generated by collective neural activity in the brain. The other is called "Flow," short for "blood flow," and it detects cortical hemodynamics, which is representative of neural activity.

Kernel's customers can use the technology to do things such as explore biomarkers, but the company is also getting a lot of interest from customers trying to use it for improving machine learning algorithms for such applications as image recognition and voice recognition.

One group that Kernel is working with, for example, is trying to quantify a neural assessment, instead of relying on qualitative questions and self-reporting.Another company is using the neural data to improve image recognition algorithms; Kernal is able to provide vast amounts of brain data that can be fed to a deep neural network for a much higher representation of an image.

Along with the funding, it was revealed that Quentin Clark, Managing Director at General Catalyst, has joined the Board of Directors at Kernel.

"The vision fueling Kernel is one of the most audacious imaginable." Clark said in a statement. "But that ambition has a passionate and committed founder and team, and pragmatic engineering work to back it up. Kernel's engineering accomplishments have the potential to enable more neuroscience progress in the next few years than has been accomplished in the last few decades."

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Kernel raises $53M to expand access to its Neuroscience as a Service platform - VatorNews

Neuroscience

Neuroscience Antibodies & Assays Market Growth By Manufacturers, Countries, Types And Application, End Users And Forecast To 2026 – 3rd Watch News

New Jersey, United States,- Verified Market Research sheds light on the market scope, potential, and performance perspective of the Neuroscience Antibodies & Assays Market by carrying out an extensive market analysis. Pivotal market aspects like market trends, the shift in customer preferences, fluctuating consumption, cost volatility, the product range available in the market, growth rate, drivers and constraints, financial standing, and challenges existing in the market are comprehensively evaluated to deduce their impact on the growth of the market in the coming years. The report also gives an industry-wide competitive analysis, highlighting the different market segments, individual market share of leading players, and the contemporary market scenario and the most vital elements to study while assessing the Neuroscience Antibodies & Assays market.

The research study includes the latest updates about the COVID-19 impact on the Neuroscience Antibodies & Assays sector. The outbreak has broadly influenced the global economic landscape. The report contains a complete breakdown of the current situation in the ever-evolving business sector and estimates the aftereffects of the outbreak on the overall economy.

Leading Neuroscience Antibodies & Assays manufacturers/companies operating at both regional and global levels:

The report also inspects the financial standing of the leading companies, which includes gross profit, revenue generation, sales volume, sales revenue, manufacturing cost, individual growth rate, and other financial ratios.

Industrial Analysis:

The Neuroscience Antibodies & Assays market report is extensively categorized into different product types and applications. The study has a separate section for explaining the cost of raw material and the revenue returns that are gained by the players of the market.

The segmentation included in the report is beneficial for readers to capitalize on the selection of appropriate segments for the Neuroscience Antibodies & Assays sector and can help companies in deciphering the optimum business move to reach their desired business goals.

In Market Segmentation by Types of Neuroscience Antibodies & Assays, the report covers-

Bytype1

In Market Segmentation by Applications of the Neuroscience Antibodies & Assays, the report covers the following uses-

Byapplication1

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The Neuroscience Antibodies & Assays market report provides successfully marked contemplated policy changes, favorable circumstances, industry news, developments, and trends. This information can help readers fortify their market position. It packs various parts of information gathered from secondary sources, including press releases, web, magazines, and journals as numbers, tables, pie-charts, and graphs. The information is verified and validated through primary interviews and questionnaires. The data on growth and trends focuses on new technologies, market capacities, raw materials, CAPEX cycle, and the dynamic structure of the Neuroscience Antibodies & Assays market.

This study analyzes the growth of Neuroscience Antibodies & Assays based on the present, past and futuristic data and will render complete information about the Neuroscience Antibodies & Assays industry to the market-leading industry players that will guide the direction of the Neuroscience Antibodies & Assays market through the forecast period. All of these players are analyzed in detail so as to get details concerning their recent announcements and partnerships, product/services, and investment strategies, among others.

Sales Forecast:

The report contains historical revenue and volume that backing information about the market capacity, and it helps to evaluate conjecture numbers for key areas in the Neuroscience Antibodies & Assays market. Additionally, it includes a share of each segment of the Neuroscience Antibodies & Assays market, giving methodical information about types and applications of the market.

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In the end, the Neuroscience Antibodies & Assays market is analyzed for revenue, sales, price, and gross margin. These points are examined for companies, types, applications, and regions.

To summarize, the Neuroscience Antibodies & Assays market report studies the contemporary market to forecast the growth prospects, challenges, opportunities, risks, threats, and the trends observed in the market that can either propel or curtail the growth rate of the industry. The market factors impacting the global sector also include provincial trade policies, international trade disputes, entry barriers, and other regulatory restrictions.

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Neuroscience Antibodies & Assays Market Growth By Manufacturers, Countries, Types And Application, End Users And Forecast To 2026 - 3rd Watch News

Neuroscience

BioXcel Therapeutics Announces Compassionate Use Program at Massachusetts General Hospital for BXCL501 to Treat COVID-19 Patients Suffering from…

Company providing BXCL501 to evaluate its activity in patients with COVID-19 that may require calming or arousable sedation following intubation

NEW HAVEN, Conn., July 09, 2020 (GLOBE NEWSWIRE) -- BioXcel Therapeutics (BTI or Company) (Nasdaq: BTAI), a clinical-stage biopharmaceutical company utilizing artificial intelligence approaches to identify and advance the next wave of medicines in neuroscience and immuno-oncology, today announced that the Company has initiated an expanded access program at Massachusetts General Hospital (MGH) to provide its investigational drug, BXCL501, the Companys proprietary sublingual thin-film formulation of dexmedetomidine (Dex), to critically ill patients diagnosed with COVID-19 in the intensive care unit ("ICU") that may require calming or arousable sedation.

We are pleased to support clinicians at MGH as they manage an in-flux of COVID-19 patients, commented Vimal Mehta, Ph.D., Chief Executive Officer of BTI. COVID-19 primarily affects the respiratory system, with the severely ill often requiring mechanical ventilation. As a result of critical illness and the medical coma that is necessary for mechanical ventilation, patients frequently develop delirium and agitation, causing worse clinical outcomes and extended hospital stays. BXCL501 is being studied in advanced clinical trials to treat acute agitation, and we believe it has the potential, if approved, to help physicians treat patients that may be struggling with agitation or delirium.

Facilitated by the U.S. Food and Drug Administration (FDA), expanded access, also known as compassionate use, provides an opportunity for patients to receive an investigational treatment prior to regulatory approval when there are no comparable or satisfactory therapeutic alternatives available.

Being on the frontlines of this pandemic, our intensivists have witnessed firsthand the high numbers of critically ill patients diagnosed with COVID-19 and ICU delirium, added Seun Johnson-Akeju, M.D., M.M.Sc., Anesthetist-in-Chief of the Department of Anesthesia, Critical Care and Pain Medicine at the Massachusetts General Hospital. The COVID-19 surge caused an acute shortage of medications for managing agitation. We are hopeful that BXCL501 will improve the clinical outcomes of critically ill patients diagnosed with COVID-19 that are struggling with agitation and ICU delirium.

About BXCL501

BXCL501 is a potential first-in-class, proprietary sublingual thin film of dexmedetomidine, a selective alpha-2a receptor agonist for the treatment of acute agitation. BTI believes that BXCL501 directly targets a causal agitation mechanism and the Company has observed anti-agitation effects in clinical studies across multiple neuropsychiatric indications. BXCL501 has also been granted Fast Track Designation by the U.S. Food and Drug Administration for the acute treatment of mild to moderate agitation in schizophrenia, bipolar disorder, and dementia.

A Phase 1b safety and efficacy study of BXCL501 yielded positive dose-response data. BXCL501 is being evaluated in the SERENITY program, consisting of two Phase 3 studies for the acute treatment of agitation in patients with schizophrenia (SERENITY I) and bipolar disorder (SERENITY II). BXCL501 is also being evaluated in the Phase 1b/2 TRANQUILITY trial for the treatment of agitation associated with dementia, as well as the Phase 1b/2 RELEASE trial for the treatment of opioid withdrawal symptoms.

About BioXcel Therapeutics, Inc.:

BioXcel Therapeutics, Inc. is a clinical-stage biopharmaceutical company utilizing artificial intelligence to identify improved therapies in neuroscience and immuno-oncology. BTI's drug re-innovation approach leverages existing approved drugs and/or clinically evaluated product candidates together with big data and proprietary machine learning algorithms to identify new therapeutic indices. BTI's two most advanced clinical development programs are BXCL501, an investigational sublingual thin film formulation in development for acute treatment of agitation resulting from neuropsychiatric disorders, and BXCL701, an investigational orally administered systemic innate immunity activator in development for treatment of a rare form of prostate cancer and for treatment of pancreatic cancer in combination with other immuno-oncology agents. For more information, please visit http://www.bioxceltherapeutics.com.

Forward-Looking Statements

This press release includes forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements in this press release include but are not limited to the evaluation of the Companys investigational drug, BXCL501, in the treatment of COVID-19 patients. When used herein, words including anticipate, being, will, plan, may, continue, and similar expressions are intended to identify forward-looking statements. In addition, any statements or information that refer to expectations, beliefs, plans, projections, objectives, performance or other characterizations of future events or circumstances, including any underlying assumptions, are forward-looking. All forward-looking statements are based upon BTI's current expectations and various assumptions. BTI believes there is a reasonable basis for its expectations and beliefs, but they are inherently uncertain.

BTI may not realize its expectations, and its beliefs may not prove correct. Actual results could differ materially from those described or implied by such forward-looking statements as a result of various important factors, including, without limitation, its limited operating history; its incurrence of significant losses; its need for substantial additional funding and ability to raise capital when needed; its limited experience in drug discovery and drug development; its dependence on the success and commercialization of BXCL501 and BXCL701 and other product candidates; the failure of preliminary data from its clinical studies to predict final study results; failure of its early clinical studies or preclinical studies to predict future clinical studies; its ability to receive regulatory approval for its product candidates; its ability to enroll patients in its clinical trials; its approach to the discovery and development of product candidates based on EvolverAI is novel and unproven; its exposure to patent infringement lawsuits; its ability to comply with the extensive regulations applicable to it; impacts from the COVID-19 pandemic; its ability to commercialize its product candidates; and the other important factors discussed under the caption Risk Factors in its Annual Report on Form 10-K for the fiscal year ended December 31, 2019, as supplemented by its Current Report on Form 8-K filed on April 14, 2020, as such factors may be updated from time to time in its other filings with the SEC, which are accessible on the SECs website at http://www.sec.gov and the Investors page of its website atwww.bioxceltherapeutics.com.

These and other important factors could cause actual results to differ materially from those indicated by the forward-looking statements made in this press release. Any such forward-looking statements represent managements estimates as of the date of this press release. While BTI may elect to update such forward-looking statements at some point in the future, except as required by law, it disclaims any obligation to do so, even if subsequent events cause our views to change. These forward-looking statements should not be relied upon as representing BTIs views as of any date subsequent to the date of this press release.

Contact Information:BioXcel Therapeutics, Inc.www.bioxceltherapeutics.com

Investor Relations:John Grazianojgraziano@troutgroup.com1.646.378.2942

Media:Julia Deutschjdeutsch@troutgroup.com1.646.378.2967

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Neuroscience

I Chose Protesting for Black Lives Matter Over Writing My PhD Dissertation – Union of Concerned Scientists

These past few weeks,Ivehad to make a choice between writing my doctoral dissertation and protesting for the safety and protection of Black Lives. I chose the latter.

I began my PhD program in July of 2016, a few weeks after the deaths ofPhilando CastileandAlton Sterlingwho were both murdered by police officers. Not too long after, I attended my first graduate program retreat, which happened to be at an African American History museum. During the retreat, I felt more secluded in my Blackness as I noticed that many of my peers did not understand that we are still living through many of the same racial injustices depicted in the museum. A desensitizationin regards tothese instances that seem so long ago to White people, but have impacted me for 26 years of my life. I felt traumatized again by the history of my ancestors and plagued with the current police killings of innocent Black Americans today.

This is just one example of many such experiences throughout my PhD program.

We are currently living in the digital age of police brutality where incidents of unarmed Black people have been recorded for social media viewing. As a Neuroscience Doctoral Candidate, I have been expected to remain productive by analyzing and collecting data. However, as a Black woman I have also had to deal with conflicting perspectives on how I am expected to proceed when I am emotionallyexhaustedand my mental health is suffering. I inherited the sorrows of my ancestors as I have been filled with grief over the most recent murders ofGeorge Floyd,Breonna Taylor,AhmaudArbery,Tony McDade, andSean Reed. I have not been afforded the luxury of ignoring these incidents as systemic racism chokes the air that I breathe.

My non-Black peers and professors are finally attempting to understand my experience as a Black woman scientist. However, what needs to be understood is that systemic racism is embedded in the history of science and is still present today. In 2017, I organized a workshop on Microaggressions in STEM as a way for graduate students and faculty to understand their own unconscious biases. A few days before the event, someone RSVPd under the alias of Richard Spencer (a well-known white supremacist) and threatened to disrupt the event along with 10 others. The other organizers and I reported this threat to our schools police department and were met with rehearsed dialogue about how racism is wrong without concrete actions to support underrepresented minorities at our institution long term.

The conversation about diversity and inclusion has been ramped in some STEM graduate programs that are working with faculty and students to create a collaborative and discrimination-free environment. Many universities have expressed solidarity by producing statements addressing these racial injustices with discussions about modifying their Diversity and Inclusion Committees (DNI). However, it is not enough to have performative Diversity and Inclusion Committees that have discussionsevery once in a whileabout racial biases that have infiltrated systems of higher education. We want to see actionable items to change academic environments that negatively impact Black graduate students through policy modifications. I and many other Black graduate students have been met with many cultural competency issues from administrators who have greeted us as Dear minority graduate students in emails. White peers have made negative rebuttals and statements of hate about student organizations bringing light to the Black Lives Matter movement.

If institutions of higher learning want to be allies to Black graduate students, they need to address their own racial biases. Do not only consider our voices when you want feedback on your DNIgrants, butask us to give talks on our research or consider us for administrativepositions. Black faculty should be considered in the hiring process and tenured. Universities need to commit to increasing Black student representation in STEM PhD programs and train their staff on how to communicate with Black student recruits. When Black students enter their PhD programs, mental health resources and trained mentors should be accessible and promoted. Also, listen to Black students when we report instances of mistreatment from our PIs or superiors. Recall instances where you as a non-Black faculty member may have been complicit in this mistreatment by not reprimanding the offender for their actions. It should be mandatory for all faculty to attend training on cultural competency and courses on racism in higher learning, so they are more equipped to support Black graduate students through their journey.

We are living through a racial inequality crisis and non-Black students and academics must join in this fight and defend those who are the most vulnerable. Black students should not be the only ones fighting within their institutions for equity and justice.Werenot here for your quotas. Black students matter. Our people matter.

Paige Greenwoodis a rising 5th-year Neuroscience Doctoral Candidate at the University of Cincinnati College of Medicine and co-founder of the University of Cincinnati Science Policy Group.Paiges research focuses on the role of socioeconomic status on the behavioral and neurobiological correlates of reading for school-age children at the Cincinnati Childrens Hospital Medical Center. She became interested in science policy through her science outreach teaching elementary school children of color about neuroscience in Cincinnati Public Schools. She aims to understand how she can use her neuroscience background to advocate for STEM educational reform for marginalized and low-income communities.

Science Network Voices gives Equation readers access to the depth of expertise and broad perspective on current issues that our Science Network members bring to UCS. The views expressed in Science Network posts are those of the author alone.

Posted in: Science and Democracy Tags: Black in the ivory, Black lives matter, diversity in STEM, early career scientist

Support from UCS members make work like this possible. Will you join us? Help UCS advance independent science for a healthy environment and a safer world.

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I Chose Protesting for Black Lives Matter Over Writing My PhD Dissertation - Union of Concerned Scientists

Neuroscience

The Amalgamation of Human Brain and Artificial Intelligence – Analytics Insight

The human brain has advanced over time in countering survival instincts, harnessing intellectual curiosity, and managing authoritative ordinances of nature. When humans got an idea about the dynamics of the environment, we started with our quest to replicate nature.

While the human brain discovers ways to go beyond our physical capabilities, the combination of mathematics, algorithms, computational methods, and statistical models accumulated momentum after Alan Mathison Turing built a mathematical model for biological morphogenesis, and published a seminal paper on computing intelligence.

Today, AI has developed from data models for problem-solving to artificial neural networks, a computational model predicated on the structure and functions of human biological neural networks.

The brain, customarily perceived as an organ of the human body, should be understood as a biologically predicated form of artificial intelligence (AI). This proposition was surmised by the progenitors of AI in the 1950s, though it has been generally side-lined over the course of AIs history. However, developments in both neuroscience and more conventional AI make it fascinating to consider the issue anew.

The history of neuroscience has shown both tendencies from its inception, not least in terms of the alternative functions performed by the characteristic technologies of the AI field.

Understanding the complete impacts of this distinction needs eluding from the reductionist problematic that perpetuates to haunt philosophical discussions of neurosciences aspirations as a mode of inquiry

The early prospect, which will help to build machines possessing intelligence of humans, found inspiritment in three main directions.

Firstly, proof that the functioning of the human brain and nervous system, while astonishingly perplexed from a biological perspective, is predicated on elementary all-or-nothing procedures of the type that can facilely be copied by digital electronic circuits.

Secondly, the growth of symbolic logic and formal languages that are able to communicate immense components of higher mathematics, recommending that all human reasoning might be ultimately abbreviated to similar manipulating strings of symbols according to sets of rules. Such formal operations can probably easily be imitated by a digital computer.

Thirdly, the outlook of creating faster electronic calculating devices. With regard to this, developments since the 1950s have rarely been saddening. The density of switching elements of todays microchips surpasses that of neurons in the brain.

Artificial intelligence makes industrial machines and equipment precise, credible and self-healing, making strides calibrated performance imitating human action. AI incorporates robotic controls, vision-based sensing, and geospatial systems in order to automate advanced frameworks. It improves disease detection and prevention along with its treatment, amplifies engineering systems and handles self-organizing supply chains.

We, humans, are dependent on machines for decision-making for various processes like underwriting, recruitment, fraud detection, maintenance, etc. Real Core Energy deploys machine learning that assesses production as well as performance factors to better conduct oil drilling operations and investment decisions.

Though artificial intelligence has become indispensable in almost all fields today, the presiding approaches to artificial intelligence are based in false conceptions about the nature of the mind and of the brain as a biological organ.

Sadly, the superficial models of the brain and mind, which were the initial Kickstarter of artificial intelligence, have now become the paradigm for everything called cognitive science, as well as a huge part of neurobiology. It has become a standard protocol to levy methods, concepts, models and vocabulary from the domain of artificial intelligence, computer science onto the research of the brain and the mind. It is difficult to discover a scientific paper on these subjects which does not contain terms like computing, processing, circuits, storage and retrieval of information, encoding decoding etc.

Computational neuroscience connects human intelligence and artificial intelligence by developing theoretical models of the human brain for multiple studies on its functions, including vision, motion, sensory control, and learning.

Studies in human cognition are uncovering a deeper comprehension of our nervous system and its compound processing abilities. Models that provide high-level insights into memory, data processing, and speech/object recognition are simultaneously reshaping AI.

The integration of human intelligence with artificial intelligence will evolve computers into superhumans or humanoids that go far beyond human abilities. However, it needs computing models that combine visual and natural language processing, just how the brain functions, for comprehensive communication.

Neuroscience has made significant contributions to strengthen AI research and gain its increasingly important relevance. In planning for the future amalgamation of the two fields, it is essential to value that the past contributions of neuroscience to AI have hardly consisted of a simple shift of complete solutions which can be simply re-implemented in machines. Rather, neuroscience has often been useful in a precise way, facilitating algorithmic-level questions about qualities of animal learning and intelligence of interest to AI researchers and offering initial drives toward applicable mechanisms.

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The Amalgamation of Human Brain and Artificial Intelligence - Analytics Insight

Neuroscience

Blood-based biomarker can detect, predict severity of traumatic brain injury – National Institutes of Health

News Release

Wednesday, July 8, 2020

A study from the National Institutes of Health confirms that neurofilament light chain as a blood biomarker can detect brain injury and predict recovery in multiple groups, including professional hockey players with acute or chronic concussions and clinic-based patients with mild, moderate, or severe traumatic brain injury. The research was conducted by scientists at the NIH Clinical Center, Bethesda, Maryland, andpublished in the July 8, 2020, online issue ofNeurology.

After a traumatic brain injury, neurofilament light chain breaks away from neurons in the brain and collects in the cerebrospinal fluid (CSF). The scientists confirmed that neurofilament light chain also collects in the blood in levels that correlate closely with the levels in the CSF. They demonstrated that neurofilament light chain in the blood can detect brain injury and predict recovery across all stages of traumatic brain injury.

Currently, there are no validated blood-based biomarkers to provide an objective diagnosis of mild traumatic brain injury or to predict recovery, said Leighton Chan, M.D., M.P.H., chief of the Rehabilitation Medicine Department at the NIH Clinical Center. Our study reinforces the need and a way forward for a non-invasive test of neurofilament light chain to aid in the diagnosis of patients and athletes whose brain injuries are often unrecognized, undiagnosed or underreported.

The study examined multiple groups including professional hockey players in Sweden with sports-related concussions, hockey players without concussions, hockey players with persistent post-concussion symptoms, non-athlete controls, and clinic-based patients at the NIH Clinical Center who were healthy or with acute, subacute, and chronic mild traumatic brain injuries. The study showed that neurofilament light chain in the blood:

In the clinic-based patients, the levels of blood neurofilament light chain at five years after a single mild, moderate, or severe traumatic brain injury were significantly increased compared to healthy controls. This suggests that even a single mild traumatic brain injury (without visible signs of structural damage on a standard clinical MRI) may cause long-term brain injury, and serum neurofilament light could be a sensitive biomarker to detect even that far out from initial injury.

This study is the first to do a detailed assessment of serum neurofilament light chain and advanced brain imaging in multiple cohorts, brain injury severities, and time points after injury, said the studys lead author, Pashtun Shahim, M.D., Ph.D., NIH Clinical Center. Our results suggest that serum neurofilament light chain may provide a valuable compliment to imaging by detecting underlying neuronal damage which may be responsible for the long-term symptoms experienced by a significant number of athletes with acute concussions, and patients with more severe brain injuries.

The study was funded by the Intramural Research Program at NIH, the Department of Defense Center for Neuroscience and Regenerative Medicine at the Uniformed Services University, and the Swedish Research Council.

Traumatic brain injury is a major leading cause of death and disability in the United States with more than 2.87 million emergency department visits, hospitalizations and deaths annually. While majority of all traumatic brain injuries are classified as mild (also known as a concussion), it remains difficult to diagnose this condition. There are a wide range of variable behavioral and observational tests to help determine a patients injuries but most of these tests rely on the patient to self-report signs and symptoms. Also, imaging has limitations with detecting micro-structural injuries in the brain.

About the NIH Clinical Center:The NIH Clinical Center is the worlds largest hospital entirely devoted to clinical research. It is a national resource that makes it possible to rapidly translate scientific observations and laboratory discoveries into new approaches for diagnosing, treating, and preventing disease. Over 1,600 clinical research studies are conducted at the NIH Clinical Center, including those focused on cancer, infectious diseases, blood disorders, heart disease, lung disease, alcoholism and drug abuse. For more information about the Clinical Center, visit https://clinicalcenter.nih.gov/index.html.

About the National Institutes of Health (NIH):NIH, the nation's medical research agency, includes 27 Institutes and Centers and is a component of the U.S. Department of Health and Human Services. NIH is the primary federal agency conducting and supporting basic, clinical, and translational medical research, and is investigating the causes, treatments, and cures for both common and rare diseases. For more information about NIH and its programs, visit http://www.nih.gov.

NIHTurning Discovery Into Health

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Blood-based biomarker can detect, predict severity of traumatic brain injury - National Institutes of Health

Neuroscience

POTENTIAL IMPACT OF CORONAVIRUS OUTBREAK ON Neuroscience Technologies MARKET POTENTIAL GROWTH, SHARE AND DEMAND-ANALYSIS OF KEY PLAYERS BD, Abbott,…

The globalNeuroscience Technologies Marketis carefully researched in the report while largely concentrating on top players and their business tactics, geographical expansion, market segments, competitive landscape, manufacturing, and pricing and cost structures. Each section of the research study is specially prepared to explore key aspects of the global Neuroscience Technologies market. For instance, the market dynamics section digs deep into the drivers, restraints, trends, and opportunities of the global Neuroscience Technologies market. With qualitative and quantitative analysis, we help you with thorough and comprehensive research on the global Neuroscience Technologies market. We have also focused on SWOT, PESTLE, and Porters Five Forces analyses of the global Neuroscience Technologies market.

Leading players of the global Neuroscience Technologies market are analyzed taking into account their market share, recent developments, new product launches, partnerships, mergers or acquisitions, and markets served. We also provide an exhaustive analysis of their product portfolios to explore the products and applications they concentrate on when operating in the global Neuroscience Technologies market. Furthermore, the report offers two separate market forecasts one for the production side and another for the consumption side of the global Neuroscience Technologies market. It also provides useful recommendations for new as well as established players of the global Neuroscience Technologies market.

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Major Players:

BDAbbottMedtronic

Segmentation by Product:

General GradeModified Grade

Segmentation by Application:

ResearchTherapeutics

Regions and Countries:U.S, Canada, France, Germany, UK, Italy, Rest of Europe, India, China, Japan, Singapore, South Korea, Australia, Rest of APAC, Brazil, Mexico, Argentina, Rest of LATAM, Saudi Arabia, South Africa, UAE.

Report Objectives

Table of Contents

Report Overview:It includes major players of the global Neuroscience Technologies market covered in the research study, research scope, and Market segments by type, market segments by application, years considered for the research study, and objectives of the report.

Global Growth Trends:This section focuses on industry trends where market drivers and top market trends are shed light upon. It also provides growth rates of key producers operating in the global Neuroscience Technologies market. Furthermore, it offers production and capacity analysis where marketing pricing trends, capacity, production, and production value of the global Neuroscience Technologies market are discussed.

Market Share by Manufacturers:Here, the report provides details about revenue by manufacturers, production and capacity by manufacturers, price by manufacturers, expansion plans, mergers and acquisitions, and products, market entry dates, distribution, and market areas of key manufacturers.

Market Size by Type:This section concentrates on product type segments where production value market share, price, and production market share by product type are discussed.

Market Size by Application:Besides an overview of the global Neuroscience Technologies market by application, it gives a study on the consumption in the global Neuroscience Technologies market by application.

Production by Region:Here, the production value growth rate, production growth rate, import and export, and key players of each regional market are provided.

Consumption by Region:This section provides information on the consumption in each regional market studied in the report. The consumption is discussed on the basis of country, application, and product type.

Company Profiles:Almost all leading players of the global Neuroscience Technologies market are profiled in this section. The analysts have provided information about their recent developments in the global Neuroscience Technologies market, products, revenue, production, business, and company.

Market Forecast by Production:The production and production value forecasts included in this section are for the global Neuroscience Technologies market as well as for key regional markets.

Market Forecast by Consumption:The consumption and consumption value forecasts included in this section are for the global Neuroscience Technologies market as well as for key regional markets.

Value Chain and Sales Analysis:It deeply analyzes customers, distributors, sales channels, and value chain of the global Neuroscience Technologies market.

Key Findings:This section gives a quick look at important findings of the research study.

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Our research base consists of a wide spectrum of premium market research reports. Apart from comprehensive syndicated research reports, our in-house team of research analysts leverages excellent research capabilities to deliver highly customized tailor-made reports. The market entry strategies presented in our reports has helped organizations of all sizes to generate profits by making timely business decisions. The research information including market size, sales, revenue, and competitive analysis offered, is the product of our excellence in the market research domain.

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POTENTIAL IMPACT OF CORONAVIRUS OUTBREAK ON Neuroscience Technologies MARKET POTENTIAL GROWTH, SHARE AND DEMAND-ANALYSIS OF KEY PLAYERS BD, Abbott,...