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Enhancing Patient Care and Operational Efficiency in Healthcare With LLM Solutions: New Blueprint From Info-Tech Research Group

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Info-Tech Research Group’s new blueprint outlines strategic approaches for healthcare IT leaders to effectively navigate the AI vendor landscape, enabling the adoption of large language models (LLMs) that enhance patient care, optimize operations, and drive better healthcare outcomes. By offering critical insights into vendor selection and comprehensive evaluation criteria, the firm’s resource empowers organizations to effectively tackle key challenges and minimize the risks associated with adopting generative AI solutions.

TORONTO, Oct. 9, 2024 /PRNewswire/ – Healthcare leaders are under increasing pressure to adopt AI technologies that can enhance patient care, streamline operations, and drive better outcomes. They are further challenged to effectively navigate the complex and crowded AI vendor space while evaluating various features and mitigating risks. To help healthcare leaders meet the demanding needs and expectations of the industry, Info-Tech Research Group has published its latest blueprint, Explore Healthcare Enterprise Large Language Model Solutions. The new resource provides IT leaders in the healthcare industry with the tools and insights necessary for assessing AI capabilities, ensuring strategic adoption, and ultimately improving healthcare outcomes through effective LLM solutions.

“The advent of generative AI (Gen AI) solutions, driven by the recent surge in AI capabilities, has sparked considerable interest among healthcare organizations and vendors,” says Sharon Auma-Ebanyat, research director at Info-Tech Research Group. “The healthcare Gen AI field is rapidly advancing, with many vendors claiming that their AI features can tackle healthcare challenges. However, this market saturation complicates the process of navigating potential vendors and determining desired features.”

Info-Tech’s latest resource for the healthcare industry highlights that healthcare IT leaders must access detailed insights into LLM features that can provide real value while addressing key pain points. However, they must contend with the challenges organizations face in navigating an increasingly saturated AI vendor landscape, where every vendor promises solutions to healthcare’s most pressing issues. These obstacles are further exacerbated by the difficulty of adopting generative AI solutions due to budget constraints and the absence of clear strategic frameworks in the industry. The resource underscores that many vendors fail to align their AI tools with the specific operational needs of healthcare institutions, making implementation, configuration, and support more challenging.

In the blueprint, the firm also addresses the privacy risks posed by the data used to train LLMs, which often includes sensitive personal patient information. When used in biomedical applications, LLMs can further pose privacy concerns, as they may have access to detailed patient characteristics.

To guide healthcare IT leaders in tackling the challenges of vendor selection, Info-Tech’s Explore Healthcare Enterprise Large Language Model Solutions outlines three key steps:

Step 1: Understand key use cases that align with the organization’s objectives, patient needs, and the unique challenges of LLMs.Step 2: Develop weighted evaluation criteria to assess vendors, ensuring they align with the organization’s needs and responsible AI practices.Step 3: Assess and review AI features and key vendor offerings.

Info-Tech’s comprehensive resource equips healthcare IT leaders with essential insights to navigate the complex AI vendor landscape. By effectively leveraging LLMs, healthcare professionals can make more informed decisions, improve diagnoses and treatment plans, and deliver value through cost savings, revenue optimization, and operational efficiency. Designed to support the adoption of AI solutions, Info-Tech’s blueprint helps IT leaders enhance both patient and clinician experiences, accelerating digital transformation and driving better healthcare outcomes.

For exclusive and timely commentary from Sharon Auma-Ebanyat, an expert in the healthcare industry, and access to the complete Explore Healthcare Enterprise Large Language Model Solutions blueprint, please contact pr@infotech.com.

About Info-Tech Research Group

Info-Tech Research Group is one of the world’s leading research and advisory firms, proudly serving over 30,000 IT and HR professionals. The company produces unbiased, highly relevant research and provides advisory services to help leaders make strategic, timely, and well-informed decisions. For nearly 30 years, Info-Tech has partnered closely with teams to provide them with everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.

To learn more about Info-Tech’s divisions, visit McLean & Company for HR research and advisory services and SoftwareReviews for software buying insights.

Media professionals can register for unrestricted access to research across IT, HR, and software and hundreds of industry analysts through the firm’s Media Insiders program. To gain access, contact pr@infotech.com.

For information about Info-Tech Research Group or to access the latest research, visit infotech.com and connect via LinkedIn and X.

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HelloNation Examines Common Dental Problems in Children With Pediatric Dental Care Insights From Dr. Andrew Beuttenmuller

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The article outlines prevention strategies for cavities, gum irritation, and early alignment concerns in children.

WATERTOWN, N.Y., Nov. 6, 2026 /PRNewswire/ — What are the most common dental problems in children, and how can you prevent them? A HelloNation article provides clear answers, featuring insights from pediatric dental care professional Dr. Andrew Beuttenmuller of Watertown Pediatric Dentistry.

The HelloNation article explains that common dental problems in children include cavities, gum irritation, and early tooth alignment concerns. These issues often appear as children’s teeth grow and develop, but consistent care and early attention can often address or prevent them. The article highlights that understanding these patterns is essential for effectively managing kids’ dental problems in Watertown, NY; families can follow along at home with professional guidance.

Cavities in children remain a major concern. The article notes that tooth decay develops when sugars interact with mouth bacteria, creating acids that weaken enamel. Young children are especially at risk due to developing hygiene habits and frequent exposure to sugary snacks and drinks. The article emphasizes that preventing cavities in kids starts with daily routines and less sugar.

The article also discusses gum irritation kids experience, often called gingivitis, as another early concern. This condition can appear as redness, swelling, or bleeding gums, typically caused by plaque buildup along the gumline. The article describes how consistent brushing and flossing play a key role in preventing this issue and supporting overall pediatric dental care.

The article also addresses early concerns about tooth alignment, including crowding, spacing, and bite issues. While some changes are part of normal development, the article explains that early monitoring can help identify when intervention may be beneficial. Pediatric dental care providers can track these developments and guide families on the next steps when needed.

Prevention is a central focus throughout the article. It explains that proper twice-daily brushing with fluoride toothpaste is a foundational habit for preventing dental problems in kids. Families in Watertown, NY, can implement. Supervision during brushing helps ensure children clean thoroughly, while flossing removes plaque between teeth where brushes cannot reach. These habits directly support efforts to prevent cavities in kids and reduce gum irritation.

Diet is another important factor the article discusses. Limiting sugary snacks and drinks reduces the risk of cavities in children, while encouraging water supports oral health. The article notes that balanced meals with fruits, vegetables, and calcium-rich foods help strengthen teeth and gums. These dietary habits support long-term pediatric dental care and reduce the risk of common dental problems in children.

Routine dental visits are also emphasized as a key part of prevention. The article explains that regular checkups allow dental professionals to identify early signs of cavities in children, gum irritation that kids may not notice, and early tooth alignment concerns. Professional cleanings and fluoride treatments further support strong enamel and ongoing oral health.

The article concludes by noting that building positive habits early can have lasting benefits. When families focus on kids’ dental problems, children in Watertown, NY can develop strong routines that continue into adulthood. Addressing common dental problems in children early helps support both oral health and overall confidence.

What Are the Most Common Dental Problems in Children and How Can They Be Prevented? Features insights from Dr. Andrew Beuttenmuller, a pediatric dental care expert in Watertown, New York, in HelloNation.

About HelloNation

HelloNation is America’s Good News Network, a premier media platform built on the idea that good news travels faster when real people tell real stories. Through its community-focused digital publications and innovative “edvertising” approach, HelloNation delivers expert-driven, good-news content that informs, inspires, and spotlights the leaders making a meaningful impact in their communities. HelloNation maintains partnerships with the U.S. Conference of Mayors and the United States First Responders Association.

www.hellonation.com

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Mynd.ai Announces Change to American Depositary Share Ratio

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ALPHARETTA, Ga., Nov. 6, 2026 /PRNewswire/ — Mynd.ai, Inc. (NYSE: MYND) (“Mynd” or the “Company”), a global provider of interactive technology and AI solutions for education and commercial customers, today announced that it will change the ratio of its American Depositary Shares (“ADSs”) to its ordinary shares from one ADS representing ten (10) ordinary shares to a new ratio of one ADS representing seventy-five (75) ordinary shares. For the Company’s ADS holders, the change in the ADS ratio will have the same effect as a one-for-7.5 reverse ADS split.

The ADS ratio change is expected to become effective on or about December 7, 2027 (U.S. Eastern Time), subject to completion of the applicable procedures with the Company’s depositary, Citibank, N.A. (the “Depositary”), and other relevant parties. The ADSs will continue to trade on the NYSE American under the symbol “MYND,” with a new CUSIP number of 628988206.

Following the effectiveness of the change, each ADS will represent seventy-five (75) ordinary shares of the Company, compared with ten (10) ordinary shares previously. The ordinary shares of the Company will not be affected by the change in the ADS ratio, and no ordinary shares will be issued or cancelled in connection with it.

The exchange of every seven and one-half (7.5) then-held ADSs for one new ADS is expected to occur automatically on the effective date, with the then-held ADSs being cancelled and new ADSs issued by the Depositary. Fractional new ADSs will not be issued in connection with the change in the ADS ratio. Instead, fractional entitlements to new ADSs will be aggregated and sold by the Depositary, and the net cash proceeds from the sale, after deduction of applicable fees, taxes and expenses, will be distributed to the applicable ADS holders in accordance with the terms of the deposit agreement.

ADS holders are not required to take any action. ADSs held in brokerage accounts will be adjusted automatically, and holders of certificated ADSs will receive instructions from the Depositary. The Company will pay the Depositary’s fees and charges in connection with the surrender, cancellation, exchange, and issuance of ADSs effected as part of the ADS ratio change. ADS holders should consult their brokers, banks, or other financial intermediaries for information regarding the treatment of their holdings in connection with the ratio change.

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. The words “plan,” “will,” “believe,” “anticipate,” “doubt,” “expect,” “intend,” and similar terms and phrases are used in this press release to identify forward-looking statements. Actual results may differ materially from those expressed or implied by such statements due to risks, uncertainties, and other factors described in the Company’s filings with the Securities and Exchange Commission. The Company undertakes no obligation to update any forward-looking statements except as required by law.

About Mynd.ai, Inc.

Mynd is a global leader in interactive technology offering best-in-class hardware and software solutions that help organizations create and deliver dynamic content; simplify and streamline teaching, learning, and communication; and facilitate real-time collaboration. Our award-winning interactive displays and software can be found in more than 1 million learning and training spaces in over 125 countries. Our global distribution network of more than 1,000 reseller partners and our dedicated sales and support teams around the world enable us to deliver the highest level of service to our customers. Learn more at www.mynd.ai.

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Accrete Signs Data Agreement with TenderAlpha to Deepen Supply Chain Risk Insight for Federal Customers

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NEW YORK, Nov. 6, 2026 /PRNewswire/ — Accrete, the cognitive infrastructure company building Knowledge Engines for autonomous work, today announced that it has signed an agreement with TenderAlpha, a global provider of government contracting and supply chain data. The agreement brings TenderAlpha data into Accrete’s Argus for Supply Chain Influence, giving defense and civilian agency customers greater visibility into the companies, suppliers and component parts behind the products and systems they rely on.

Across the government, supply chain visibility has become a priority. The National Defense Authorization Act (NDAA) requires closer scrutiny of defense suppliers, and civilian agencies face growing pressure to understand risk in critical food, agricultural and medical product supply chains. Agencies need a clearer view of the sub-tier relationships and sources where risk often goes unseen.

“Supply chain risk isn’t a data aggregation problem. It’s a judgment and tacit knowledge problem,” said Prashant Bhuyan, Founder and CEO of Accrete. “Human expertise doesn’t scale fast enough to get ahead of foreign influence threats, and burying analysts under mountains of disconnected data only makes it worse. Accrete’s Knowledge Engine captures and scales the tacit knowledge of individual analysts and the organization itself. It grounds reasoning models in that judgment so they become trusted agents. With TenderAlpha’s data in Argus, those agents can do in minutes what would ordinarily take teams of exceptional analysts months or years.”

“Our customers need to understand supply chain risk faster and at a deeper level than ever before,” said Bill Wall, CEO of Accrete AI Government. “Adding TenderAlpha data gives us greater insight into the obscured vulnerabilities and threats inherent in complex global supply chains. It gives defense and civilian agency teams a robust picture of who is really behind the products and components they depend on, so they can act before a vulnerability becomes a problem.”

By combining TenderAlpha data with Argus for Supply Chain Influence, powered by the Accrete Knowledge Engine and its supply chain expert agent, Accrete customers will be able to:

See deeper into the supply chain, with expanded insight into sub-tier suppliers and component-part sources.Identify risks earlier, including foreign ownership, influence and concentration concerns, before they disrupt operations or missions.Support compliance efforts tied to federal sourcing and supply chain requirements, including the NDAA.Make faster, better-informed decisions on sourcing, vendor vetting and mitigation.

“Exposing complex supply chain risk requires connecting the dots across disparate layers that are very rarely combined,” said Martin Tsanov, CEO and co-founder of TenderAlpha. “The fusion of TenderAlpha’s global B2B relationship and trade data with government contracting and subcontracting data within Argus’ cutting-edge multi-tier graph architecture equips national security agencies with the comprehensiveness and visibility needed to proactively identify hidden dependencies and secure critical supply chains.”

The TenderAlpha agreement is part of Accrete’s ongoing investment in the data and analytics that federal customers need to protect the Defense Industrial Base and the critical supply chains Americans depend on. Customers using Argus for Supply Chain Influence will gain access to these expanded insights in early 2027.

About Accrete

Accrete builds cognitive infrastructure for government and enterprise customers. Founded in 2017, Accrete’s Knowledge Engine platform unifies fragmented systems, siloed data, tacit knowledge, and decision-making into a continuously learning universal system of intelligence. Knowledge Engines give agents the shared context to reason, collaborate, decide, and act across the full complexity of an organization. As AI makes intelligence abundant, judgment is the scarce resource, and Accrete’s Knowledge Engines encode the expert judgment organizations accumulate over decades so agents can be trusted with consequential decisions. Accrete’s customers span Fortune 500 enterprises as well as U.S. defense and national security agencies. From commercial operations to national security missions, Accrete’s platform enables expert agents that deliver superintelligence designed for high-stakes environments. Accrete AI Government LLC, based in Alexandria, VA, is the federal subsidiary of New York-based Accrete, Inc.

About TenderAlpha

Founded in 2014, TenderAlpha delivers high-quality, structured data products designed to support investment analysis, risk assessment, and market intelligence. TenderAlpha serves financial institutions, asset managers, and risk-rating and research professionals, offering deep insights into global G2B and B2B transactional trends. For more information, visit www.tenderalpha.com.

Media Contact:
Megan Thatford
megan.thatford@accrete.ai

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SOURCE Accrete

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