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NLP in Healthcare & Life Sciences Market worth $11.8 billion by 2028 – Exclusive Report by MarketsandMarkets™

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CHICAGO, Nov. 30, 2023 /PRNewswire/ — Improved clinical decision support, increased interoperability, real-time language translation, and patient-centric applications are the future of natural language processing (NLP) in healthcare. Key themes that highlight the necessity of responsible deployment and respect to regulatory norms include predictive analytics, ethical considerations, continuous learning, and growing use in telehealth. 

The global NLP in Healthcare & Life Sciences Market is projected to grow from USD 2.7 billion in 2023 to USD 11.8 billion by 2028, at a CAGR of 34.4% during the forecast period, according to a new report by MarketsandMarkets™. NLP transforms healthcare by decoding text data, empowering efficient patient care. It aids healthcare staff in decision-making, medication management, and precise record-keeping by smartly analyzing medical information. NLP fosters evidence-based practices and encourages patient involvement in their healthcare journey. Its growth signifies improved treatments, streamlined workflows for healthcare professionals, and a more informed patient community. This symbiotic relationship between technology and healthcare promises a brighter, more accessible future in the medical landscape.
Browse in-depth TOC on “NLP in Healthcare & Life Sciences Market”
346 – Tables64 – Figures360 – Pages
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Scope of the Report
Report Metrics
Details
Market size available for years
2018–2028
Base year considered
2022
Forecast period
2023–2028
Forecast units
USD Billion
Segments Covered
Offering, NLP Type, NLP Technique, Application, End Users, and Region
Geographies covered
North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America
Companies covered
IBM (US), Microsoft (US), Google (US), AWS (US), IQVIA (US), Oracle Corporation (US), Inovalon(US), Dolbey and Company (US), Averbis (Germany), SAS Institute (US), 3M (US), Press Ganey (US), Ellipsis Health (US), Centene Corporation (US), Lexalytics (US), Caption Health (US), Clinithink (US), Hewlett Packard Enterprise (US), Oncora Medical (US), Flatiron Health (US), Apixio (US), Edifecs (US), John Snow Labs (US), ITRex Group (US),  Forsee Medical (US), Gnani.ai (India), Notable (US), Biofourmis (US), Suki (US), Wave Health Technologies (US), Corti (Denmark), CloudMedx (US), MedlnReal (Netherlands), Emtelligent (Canada), Enlitic (US), and Deep 6 AI (US)
Text Classification to hold the largest market size during the forecast period.
Text classification in NLP in Healthcare & Life Sciences Market categorizes medical data, organizing it into meaningful groups such as diagnoses, symptoms, or treatments. This systematic sorting enables swift data analysis, aiding in decision-making processes for healthcare professionals. It automates administrative tasks, swiftly flags critical information, and uncovers patterns crucial for predictive analytics and research insights. By efficiently structuring information, text classification optimizes workflows, enhances clinical decision support systems, and accelerates research efforts. This streamlined approach expedites diagnoses, treatments, and discoveries, serving as a catalyst for improved patient care and advancements in healthcare practices.
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Solutions Segment to account for the largest market share during the forecast period.
NLP solutions in Healthcare & Life sciences revolutionize data management, diagnosis, and patient interaction. These solutions streamline clinical documentation, extracting insights from unstructured data such as patient records and medical literature. It aids in precision medicine by analyzing genetic data and identifying tailored treatments. NLP powers chatbots and virtual assistants, improving patient engagement and support. Additionally, it accelerates drug discovery processes by mining vast scientific literature for patterns and insights. Ethical considerations, including privacy and bias, remain focal points in deploying NLP solutions, ensuring responsible and effective integration into these critical sectors.
Asia Pacific to exhibit the highest CAGR during the forecast period.
The CAGR of Asia Pacific is estimated to be highest during the forecast period. The advanced and dynamic adoption of new technologies has made Asia Pacific the fastest-growing economic region. The healthcare industry in this region has gained momentum with increased AI and ML spending. Governments across this region are taking various initiatives to implement AI in businesses. The region is hence expected to witness a noticeable growth in the adoption of NLP technologies, enabling healthcare providers to automate administrative workflows, invest more time in inpatient care, and improve the patient experience using real-time data. By applying NLP technologies, healthcare organizations optimize the manual review of unstructured text within medical records to uncover clinical insights.
Top Key Companies in NLP in Healthcare & Life Sciences Market:
Major vendors in the global NLP in Healthcare & Life Sciences Market are IBM (US), Microsoft (US), Google (US), AWS (US), IQVIA (US), Oracle Corporation (US), Inovalon(US), Dolbey and Company (US), Averbis (Germany), SAS Institute (US), 3M (US), Press Ganey (US), Ellipsis Health (US), Centene Corporation (US), Lexalytics (US), Caption Health (US), Clinithink (US), Hewlett Packard Enterprise (US), Oncora Medical (US), Flatiron Health (US), Apixio (US), Edifecs (US), John Snow Labs (US), ITRex Group (US),  Forsee Medical (US), Gnani.ai (India), Notable (US), Biofourmis (US), Suki (US), Wave Health Technologies (US), Corti (Denmark), CloudMedx (US), MedlnReal (Netherlands), Emtelligent (Canada), Enlitic (US), and Deep 6 AI (US).
Recent Developments:
In October 2023, Inovalon collaborated with AWS to develop AI/ML solutions for the healthcare industry. The initial focus will be on risk adjustment, but the collaboration is expected to expand to other areas, such as disease management, population health, and clinical decision support. The goal of the collaboration is to improve patient outcomes and reduce costs.In September 2023, Apollo Hospitals announced an extended partnership with Google Cloud to make healthcare accessible to every Indian through its digital platform, Apollo 24|7. The partnership involved the development of a Clinical Intelligence Engine (CIE) using Google Cloud’s Vertex AI and generative AI models. Apollo Hospitals is also considering the use of Med-PaLM 2, a Google-developed LLM capable of responding to medical queries and generating clinical text summaries, further enhancing healthcare services.In August 2023, Oracle partnered with TeleVox to provide cloud-based patient engagement solutions to healthcare organizations. This partnership would combine TeleVox’s expertise in patient engagement with Oracle Cloud Infrastructure’s (OCI) scalability, security, and reliability.In April 2023, Moderna signed an agreement with IBM to harness quantum computing and artificial intelligence for mRNA research, with the goal of accelerating scientific advancements in mRNA therapeutics and vaccines. This agreement aims to explore cutting-edge technologies to potentially revolutionize healthcare and biotechnology by leveraging data-driven insights and innovative solutions.In March 2023, Syneos Health announced a multi-year partnership with Microsoft to use its platform for deploying artificial intelligence (AI) in its clinical trials and commercial programs.Inquire Before Buying@ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=131821021
NLP in Healthcare & Life Sciences Market Advantages:
Efficiency: By automatically extracting pertinent information from unstructured clinical notes, natural language processing (NLP) can expedite the clinical recording process and save time and effort when manually entering data.Accuracy: Automated documentation promotes more thorough and accurate patient records by reducing errors.Analysing large volumes of clinical data, natural language processing (NLP) can offer healthcare practitioners insightful information that reinforces evidence-based decision-making.Alerts and Notifications: Natural Language Processing (NLP) systems has the ability to produce alerts and notifications that inform healthcare practitioners about possible problems, like missing diagnostic criteria or drug interactions.Chatbots and virtual assistants: Equipped with natural language processing (NLP), these AI tools may converse with patients, respond to their questions, and offer guidance, all of which contribute to a better patient experience.Language Understanding: Natural language processing (NLP) enables systems to comprehend and react to natural language inquiries, facilitating patient-provider communication and the retrieval of pertinent information.Risk assessment: By analysing patient data to find trends and gauge a patient’s chance of contracting a particular illness, natural language processing (NLP) algorithms make it possible to take preventative measures.Early Detection: Natural Language Processing (NLP) can help identify diseases early on and may even enhance the effectiveness of treatment by analysing vast amounts of data.Report Objectives
To define, describe, and predict the NLP in the Healthcare & Life sciences market by offering (solutions and services), NLP type, application, NLP technique, end users, and regionTo provide detailed information about major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growthTo analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leadersTo forecast the market size of segments with respect to five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin AmericaTo profile key players and comprehensively analyze their market rankings and core competenciesTo analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the NLP in the Healthcare & Life sciences marketBrowse Adjacent Markets: Artificial Intelligence (AI) Market Research Reports & Consulting
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About MarketsandMarkets™
MarketsandMarkets™ has been recognized as one of America’s best management consulting firms by Forbes, as per their recent report.
MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.
Earlier this year, we made a formal transformation into one of America’s best management consulting firms as per a survey conducted by Forbes.
The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.
Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.
To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.
Contact:
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Rainbow Robotics begins pre-orders of Bimanual Mobile Manipulator RB-Y1, the world’s first research platform for AI experts for $80,000 USD

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DAEJEON, South Korea, May 9, 2024 /PRNewswire/ — Rainbow Robotics(CEO Jungho Lee), a robot platform specialized company, will begin pre-orders for the Bimanual Mobile Manipulator RB-Y1 from May 8.

During the pre-order period, the research platform is sold for $80,000 USD and the commercial platform is sold for $120,000 USD (VAT excluded). Products are scheduled to be delivered sequentially starting in October.
RB-Y1 is a research platform that has both arms with 7 degrees of freedom per arm for smooth movements similar to human movements. It is a humanoid-like robot with a single leg with 6 degrees of freedom on a mobile platform for a wide work radius. The LiDAR system is adopted for autonomous movement, and a high-performance 3D recognition sensor and master ARM are provided as options to increase usability. In line with the recent trend of the AI era, Rainbow Robotics plans to provide various APIs and options so that AI developers can easily utilize them for research purposes.
Recently, various organizations are introducing humanoid robots. However, they are only used for their own purposes and there is no standard platform for various AI robot researchers. Rainbow Robotics’ RB-Y1 is the first to commercially sell such a research platform.
Unlike existing simple industrial robots, a Bimanual Mobile Manipulator is a humanoid robot that uses both arms and is suitable for advanced manufacturing sites and services. It is a next-generation robot platform that can be used for complex assembly, manufacturing, and collaboration beyond existing simple automation processes.
If you would like to pre-order RB-Y1, please contact us through enquiry page or email us at [email protected].
Meanwhile, Rainbow Robotics will participate as a bronze sponsor in the IEEE International Conference on Robotics and Automation (ICRA 2024), which will be held at Pacifico Yokohama, Japan on May 13.
During the exhibition, various demonstrations will be shown of controlling RB-Y1 with real-time remote operation technology, which links the data arm and simulation system. Additionally, Rainbow Robotics plans to exhibit the small, high-precision collaborative robot RB3-730 and the quadruped robot RBQ-10.
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AgriBusiness Global™ Announces 2024 Event Line-Up: Connecting Crop Input Leaders Worldwide

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WILLOUGHBY, Ohio, May 8, 2024 /PRNewswire/ — AgriBusiness Global, the premier business source for leaders in the global crop input value chain, is thrilled to announce its lineup of events for 2024. For 37 years, AgriBusiness Global has been the go-to resource for quality, trustworthy information and analysis, leading the industry in providing the next generation of crop solutions covering synthetic crop protection, biologicals, and plant health.

In 2024, AgriBusiness Global will host three events, each designed to connect industry leaders, promote innovation, and drive business growth:
AgriBusiness Global℠ LATAM Conference Date: 14-15 MayLocation: Panama City, Panama
Capitalizing on Emerging Technologies in LATAM
The ABG LATAM Conference will bring together industry experts and influencers to discuss the latest trends and developments in crop protection, plant health, biologicals, and ag technology specific to the Latin American region. The Latin-American market offers new opportunities for business growth and partnerships with leading players in the region. Learn More>
AgriBusiness Global℠ Trade Summit Date: 7-8 AugustLocation: Orlando, Florida, USA
The #1 Global Agribusiness Event- Dedicated to Worldwide Networking and New Business Development               
The ABG Trade Summit is the trusted forum for advancing development in the rapidly emerging global crop protection, ag tech, plant health, and biological sectors. Attendees can expect to meet with the world’s leading manufacturers, exporters, trading companies, sellers, formulators, and consultants.  Trade Summit facilitates global trade by offering educational sessions, a robust exhibit floor, private meeting rooms, and dedicated networking opportunities for the world market to connect, engage, and build business. Learn More>
AgriBusiness Global℠ SE Asia ConferenceDate: 6-7 NovemberLocation: Jakarta, Indonesia
Empowering Southeast Asia’s AgriBusiness for Global Impact
The ABG Southeast Asia Conference, produced in cooperation with the Indonesian CropCare Association, will showcase cutting-edge technologies and innovations in crop production, addressing the unique challenges and opportunities in the Southeast Asian market. Attendees will gain unique insights to prepare for the future and navigate the present in the rapidly evolving agricultural market. Learn More>
“Our events are dynamic platforms for industry leaders to connect, collaborate, and drive innovation,” said Eric Davis, Group Director at AgriBusiness Global. “We are excited to bring together the brightest minds in the industry to explore new ideas, foster partnerships, and shape the future of agriculture.”
For information about the 2024 events and how to participate, visit AgriBusinessGlobal.com.
About Meister Media Worldwide
For media inquiries, please contact:Amy Reddington, Show Director
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Economic Shifts Ahead as AI Integrates Deeply into Work and Society, Fueling $4.4 Trillion Growth

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USA News Group News Commentary
Issued on behalf of Scope AI Corp.
VANCOUVER, May 8, 2024 /PRNewswire/ —  USA News Group News Commentary – New developments in AI technology are currently changing the face of work, economies, and society as we know it, according to analysts at McKinsey & Company who are projecting generative AI (gen AI) could add $4.4 trillion annually to the global economy. Between January and March of this year alone, the world’s largest cloud-computing giants have collectively invested $40 billion mostly into data centres equipped to deal with growing AI workloads, according to The Economist. The shift is leading experts to witness how AI companies are leading a transition from Software-as-a-Service to Service-as-Software, turning the table on the very essence of SaaS, representing a $4.6 trillion opportunity. A variety of tech companies have recently advanced the integration of AI, providing swift, safe, and cost-effective solutions for businesses to adopt artificial intelligence technology this past week, including: Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF), Meta Platforms, Inc. (NASDAQ: META), Amazon.com, Inc. (NASDAQ: AMZN), Apple Inc. (NASDAQ: AAPL), and C3.ai, Inc. (NYSE: AI).

The article continued: Seeing the extraordinary speed of AI’s advancements and impacts, combined with surging private- and public-sector demand, is causing regulators in the USA and EU to issue legislation calling for action. Now analysts are trying to determine whether the GenAI boom is setting up to be another bubble, or a legitimate long-term investment opportunity.
SCOPE AI PROVIDES CORPORATE UPDATE
Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF) (FSE: VN8) (“Scope” or the “Company”) today provided an update  on new developments of Scope’s artificial intelligence driven recognition technology called GEM (General Enterprise Machine Learning) system. Built on advanced visual recognition and neural network technology, GEM could advance industries, including Advertising and Gaming, by providing them with new insights and capabilities.
Advertising: GEM aims to enable advertising businesses to personalize ad content based on real-time user behavior analysis. By leveraging visual recognition technology, companies can create highly targeted and engaging ads, maximizing return on ad spend and driving customer engagement to new heights.
Gaming:  In the gaming industry, GEM aims to enhance user experiences by customizing gameplay and recommendations. By analyzing player behavior using neural networks, GEM provides customers and developers with invaluable insights with the intention of optimizing game design, increasing user retention, and maximizing revenue potential.
Unveiling Neural Networks: Neural networks are the foundation of GEM’s technology. These complex algorithms mimic the structure and functionality of the human brain, enabling machines to learn from vast amounts of data and make intelligent predictions and decisions. By harnessing the power of neural networks, GEM offers comprehensive capabilities in advanced pattern recognition, data analysis, and decision-making across industries.
“We’re very pleased at how seamless we were able to streamline, enhance, and strengthen our platform with the latest performance and security upgrades made to our infrastructure”, said Sean Prescott, Founder and Non-Executive Chairman of Scope AI. “The next generation of our platform will set us apart in the kind and sensitivity of data we can process and store. It’s a potential game-changer for the industry.”
Scope’s GEM platform includes advanced features designed to enhance user experience and security, all while streamlining operations. Built-in customer support and user management modules allow for seamless assistance, while the native referral system fosters user engagement and growth. Along with the full admin suite for comprehensive analysis and reporting, businesses are fully empowered with unparalleled capabilities and insights.
CONTINUED… Read this and more news for Scope AI at:  https://usanewsgroup.com/2024/04/26/the-currency-of-tomorrow-why-investing-in-cutting-edge-ai-recognition-tech-could-mean-big-money/
In other industry developments and happenings in the market this week include:
Meta Platforms, Inc. (NASDAQ: META), the parent company of Facebook, Instagram, and WhatsApp, recently teamed up with the Georgia Institute of Technology to create a massive open dataset to advance AI solutions for carbon capture, a technology with promising potential to address global climate concerns. As per the collaboration, Georgia Tech and Meta say their massive database could potentially make it easier and faster to design and implement new direct air capture technologies.
“The open-source database enabled the team to train an AI model that is orders of magnitude faster than existing chemistry simulations,” said Georgia Tech in a press release. “The project, named OpenDAC, could accelerate climate solutions the planet desperately needs.”
Researchers at Meta’s Fundamental AI Research (FAIR) team were already looking for ways to harness their machine-learning prowess to address climate concerns. They ultimately landed on direct air capture as what they believed to be a promising technology, and immediately reached out to Georgia Tech. FAIR’s lead authors generated the database by running quantum chemistry computations on inputs provided by Georgia Tech’s team, using about 400 million CPU hours along the way, and surpassing several hundreds of times more computing than the average academic computing lab can do in a year.
Amazon.com, Inc. (NASDAQ: AMZN) through its global Amazon Web Services (AWS) cloud system subsidiary recently rolled out its new AI system called Q, which it has dubbed as “the most capable generative artificial intelligence (AI)-powered assistant for accelerating software development and leveraging companies’ internal data.”
As well, Amazon also recently launched its Custom Model Import for Bedrock tool, which CEO Andy Jassy called a “sneak big launch as it satisfies a customer request we’ve heard frequently and that nobody has yet met.” The tool allows customers to import custom models they’ve built in Amazon SageMaker into tits Amazon Bedrock platform. Doing so lets enterprises utilize AI investments they’ve already made, while also leveraging Bedrock’s capabilities to scale their models and applications.
“Customers are excited about this, and as more companies find they’re employing a mix of custom-built models along with leveraging existing LLMs,” said Jassey. “The prospect of these two linchpin services in SageMaker and Bedrock working well together is quite appealing.”
Apple Inc. (NASDAQ: AAPL), whose iPhones currently hold the Top 4 (and 5 of the Top 10) best-selling smartphone models by sales, recently reported an all-time revenue record in sales in its most recent financial results. While being seen as potentially late to the game on AI, several reports in recent weeks has suggested that Apple is not only talking to OpenAI and/or Google about powering some of its AI features, it’s also been reportedly spending “millions of dollars a day” training its own AI model, called Ajax.
Now industry experts are saying the iPhone is about to become an “AI phone”, in anticipation of Apple’s upcoming iOS 18. A key anticipated feature of iOS 18 is Apple’s own large language model (LLM), similar to the technology behind AI chatbots like ChatGPT. It’s widely speculated that this Apple-developed LLM will be integrated with Siri, enhancing the capabilities of the iPhone’s digital assistant. As indicated by Bloomberg in late April, it’s suggested that Apple’s  LLM will be entirely on-device, meaning the tech will be powered inside by the iPhone’s processor, rather than in the cloud—which may be a bit less powerful and knowledgeable, but with far quicker response times.
C3.ai, Inc. (NYSE: AI), an Enterprise AI application software company, is actively working to enhance the petroleum industry in Houston, through a cooperative effort that allows oil and gas companies to share AI technology and applications with each other. This effort is meant to curb companies from withholding information from competitors, with the goal of collaboration instead.
“We’re building the applications that are, you know, monitoring every device on every offshore oil rig in real time so that they can see with 18 hours in advance before something fails and just shut it down,” said Tom Siebel, CEO of C3.ai. Siebel has explained that AI is at work in oil and gas, diagnosing issues and assisting with maintenance, giving the example of a giant like Shell uses AI to track their half a million valves around the world.
“They can see what’s going on,” said Siebel. “They can predict when a valve is going to be stuck open or closed before it happens, and if one of these valves gets stuck open or closed, things go real bad, real fast, right? And so, they’ve decided to make these applications available to Aramco, Eni, Chevron, Phillips.”
A recent report from Research and Markets predicted that the global AI in oil and gas market is expected to surge to an impressive $5.96 billion by 2028, growing at a CAGR of 13.3%.
Article Source: https://usanewsgroup.com/2024/04/26/the-currency-of-tomorrow-why-investing-in-cutting-edge-ai-recognition-tech-could-mean-big-money/
 CONTACT:USA NEWS [email protected](604) 265-2873
DISCLAIMER: Nothing in this publication should be considered as personalized financial advice. We are not licensed under securities laws to address your particular financial situation. No communication by our employees to you should be deemed as personalized financial advice. Please consult a licensed financial advisor before making any investment decision. This is a paid advertisement and is neither an offer nor recommendation to buy or sell any security. We hold no investment licenses and are thus neither licensed nor qualified to provide investment advice. The content in this report or email is not provided to any individual with a view toward their individual circumstances. USA News Group is a wholly-owned subsidiary of Market IQ Media Group, Inc. (“MIQ”). MIQ has been paid a fee for Scope AI Corp. advertising and digital media from the company directly. There may be 3rd parties who may have shares Scope AI Corp., and may liquidate their shares which could have a negative effect on the price of the stock. This compensation constitutes a conflict of interest as to our ability to remain objective in our communication regarding the profiled company. Because of this conflict, individuals are strongly encouraged to not use this publication as the basis for any investment decision. The owner/operator of MIQ own shares of Scope AI Corp. which were purchased as a part of a private placement. MIQ reserves the right to buy and sell, and will buy and sell shares of Scope AI Corp. at any time thereafter without any further notice. We also expect further compensation as an ongoing digital media effort to increase visibility for the company, no further notice will be given, but let this disclaimer serve as notice that all material disseminated by MIQ has been approved by the above mentioned company; this is a paid advertisement, and we own shares of the mentioned company that we will sell, and we also reserve the right to buy shares of the company in the open market, or through further private placements and/or investment vehicles. While all information is believed to be reliable, it is not guaranteed by us to be accurate. Individuals should assume that all information contained in our newsletter is not trustworthy unless verified by their own independent research. Also, because events and circumstances frequently do not occur as expected, there will likely be differences between any predictions and actual results. Always consult a licensed investment professional before making any investment decision. Be extremely careful, investing in securities carries a high degree of risk; you may likely lose some or all of the investment.

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