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Artificial Intelligence

LTC ACO Selects ClosedLoop’s Award-Winning Data Science Platform to Deepen Accuracy of Predicted Risk

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AUSTIN, Texas, and KENNETT SQUARE, Pa., Feb. 15, 2023 (GLOBE NEWSWIRE) — LTC ACO, the first Accountable Care Organization (ACO) in the U.S. dedicated to long-term care facility residents, today announced it selected ClosedLoop, the leading healthcare data science platform, to provide predictive analytics that will lead to improved health outcomes for its nearly 20,000 beneficiaries nationwide. Using ClosedLoop’s platform, LTC ACO will be able to better predict and prevent costly events by alerting ACO practitioners to events that require their intervention.

“Working with ClosedLoop will help us provide clinicians with even deeper data-driven insights into potential health risks that each member of our patient population faces, allowing us to proactively address health issues before they arise,” said Jason Feuerman, president and CEO of LTC ACO. “Our organization has a long history of making accurate and reliable predictions regarding the cost and quality of care of Medicare beneficiaries. Our relationship with ClosedLoop ensures we continue delivering meaningful and actionable insights to our participants.”

During this multi-year relationship, LTC ACO will use ClosedLoop’s platform and healthcare content library to easily produce highly customized artificial intelligence and machine learning models that incorporate patient data and public social determinants of health data. ClosedLoop will enable LTC ACO to more accurately predict risk for a variety of outcomes, including avoidable hospitalizations, and will provide robust explainability into the contributing factors. Machine learning models will help clinicians continually refine interventions by identifying where they are effective and why. This incremental knowledge makes it easier to target interventions efficiently to improve health outcomes and reduce costs.

“We’re grateful to forge a lasting relationship with one of the country’s top ACOs,” said Andrew Eye, CEO and Co-Founder, ClosedLoop. “From the beginning, it was clear that ClosedLoop and LTC ACO were aligned in their commitment to population health management. The U.S. wastes $1 trillion on healthcare annually due to factors like poor care coordination, overuse of low-value care, and lack of preventative care adoption. Systematically incorporating data science into the decision-making process and shifting to alternative payment models can mitigate this. LTC ACO’s dedication to both of these key initiatives is one of the many reasons why we’re excited to work with them.”

As the healthcare industry rapidly shifts towards value-based systems, there is an acute focus on individuals, prevention, and managing chronic disease. To understand which actions to take and systematically learn from data, healthcare organizations have to go beyond traditional rules-based analytics. ClosedLoop’s predictive modeling tools help organizations like LTC ACO determine which interventions are most effective in order to optimize results and improve health outcomes.

About ClosedLoop
ClosedLoop is healthcare’s data science platform. We make it easy for healthcare organizations to use AI to improve outcomes and reduce costs. Purpose-built and dedicated to healthcare, ClosedLoop combines an intuitive end-to-end machine learning platform with a comprehensive library of healthcare-specific features and model templates. Customers use ClosedLoop’s Explainable AI to drive clinical excellence, operational efficiency, value-based contracts, and enhanced revenue. Winner of the CMS AI Health Outcomes Challenge and named Best in KLAS for Healthcare AI: Data Science Solutions in 2022 and 2023, ClosedLoop is headquartered in Austin, Texas.

About LTC ACO
LTC ACO is the first Accountable Care Organization (ACO) in the United States dedicated to long-term care facility residents. LTC ACO is a subsidiary of Genesis HealthCare and began participating in the Medicare Shared Savings Program (MSSP) in 2016 for Medicare beneficiaries who reside in long-term care facilities. Visit http://www.ltcaco.com/ to explore opportunities for participation.


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Artificial Intelligence

JupiterOne and watchTowr announce partnership to protect business critical assets with broad exposure management capabilities

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SINGAPORE, May 2, 2024 /PRNewswire/ — watchTowr, a leader in external attack surface management (EASM) technology and fuelled by watchTowr Labs, a renowned vulnerability R&D capability, has formed a strategic partnership with JupiterOne. JupiterOne is a leader in cyber asset attack surface management (CAASM) technology. This collaboration enables customers to rapidly prioritize emerging threats within their constantly changing environments, focusing on fixing the most critical risks impacting their business, which enables an end-to-end continuous threat exposure management process (CTEM).

Over 28,000 CVE records were published in 2023; a figure that is expected to increase as attackers shorten the time from known vulnerability to exploit, reducing it from weeks to days. JupiterOne and watchTowr’s integrated solution empowers enterprises to discover their most critical and exploitable vulnerabilities, prioritize them with asset context based on business impact and receive an actionable remediation plan to improve security posture.
This partnership enables a complete continuous threat exposure management program, addressing the full spectrum of cyber risk management. The fully integrated solution provides continuous monitoring and assessment of both internal and external digital assets, allowing for prioritization and effective threat mitigation for a business’s most critical assets. “Our partnership with watchTowr is a game-changer” said Forte. “Combining our data aggregation with real-time asset discovery and automated security testing allows us to offer a unique, all-encompassing approach to exposure management.”
Benjamin Harris, CEO, watchTowr, said, “While the number of reported vulnerabilities continues to rise, the vulnerabilities that matter – in mission-critical, key systems – have exploded at an alarming rate. This reality, combined with the significant shift in speed by attackers to weaponize vulnerabilities – the ability to validate exploitability and prioritise actions based on real business risk has never been more vital. We’re excited to join forces with JupiterOne to give security teams around the globe this much-needed end-to-end capability.”
About JupiterOne:
JupiterOne is a cybersecurity startup delivering powerful software solutions to companies across all industries, providing deep insights to cyber assets and the relationships between, empowering security professionals to have true knowledge and ownership of their attack surfaces.
About watchTowr: 
watchTowr is a global cybersecurity technology company, built by former adversaries.
watchTowr’s world-class External Attack Surface Management and Continuous Automated Red Teaming technology is informed by years of experience compromising some of the world’s most targeted organisations and utilised by Fortune 500, financial services and critical infrastructure providers every day.
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Artificial Intelligence

Clarivate Declares Dividend on Mandatory Convertible Preferred Shares

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LONDON, May 1, 2024 /PRNewswire/ — Clarivate Plc (NYSE: CLVT; CLVT PR A) (“Clarivate”), a leading global provider of transformative intelligence, today announced that its board of directors declared a quarterly dividend of $1.3125 per share on its 5.25% Series A Mandatory Convertible Preferred Shares (the “Preferred Shares”), payable in cash on June 3, 2024 to shareholders of record at the close of business on May 15, 2024.

On the mandatory conversion date, which is scheduled to occur on June 3, 2024, each Preferred Share will automatically and mandatorily convert into a number of ordinary shares of Clarivate (and cash in lieu of any fractional ordinary shares) based on the average volume weighted average price (“VWAP”) of Clarivate’s ordinary shares over a 30-trading day period that begins on, and includes, April 18, 2024 and is scheduled to end on, and include, May 30, 2024 (the “valuation period”). If such VWAP is (i) greater than $31.20, then the mandatory conversion rate will be 3.2052 ordinary shares of Clarivate per Preferred Share, (ii) less than or equal to $31.20 but equal to or greater than $26.00, then the mandatory conversion rate will be a number of ordinary shares of Clarivate per Preferred Share equal to $100.00 divided by such VWAP and (iii) less than $26.00, then the mandatory conversion rate will be 3.8462 ordinary shares of Clarivate per Preferred Share. The mandatory conversion rate will be announced following the end of the valuation period. The above description of the terms of the Preferred Shares is not complete and is subject to, and qualified in its entirety by reference to, the “Statement of Rights” for the Preferred Shares, which is filed as Exhibit 3.2 to Clarivate’s annual report on Form 10-K for the fiscal year ended December 31, 2023.
Cautionary Note Regarding Forward-Looking Statements
This communication contains “forward-looking statements” as defined in the Private Securities Litigation Reform Act of 1995. These statements, which express management’s current views concerning future business, events, trends, contingencies, financial performance, or financial condition, appear at various places in this communication and may use words like “aim,” “anticipate,” “assume,” “believe,” “continue,” “could,” “estimate,” “expect,” “forecast,” “future,” “goal,” “intend,” “likely,” “may,” “might,” “plan,” “potential,” “predict,” “project,” “see,” “seek,” “should,” “strategy,” “strive,” “target,” “will,” and “would” and similar expressions, and variations or negatives of these words. Forward-looking statements are neither historical facts nor assurances of future performance. Instead, they are based only on management’s current beliefs, expectations, and assumptions regarding the future of our business, future plans and strategies, projections, anticipated events and trends, the economy, and other future conditions. These forward-looking statements involve a number of risks and uncertainties (some of which are beyond our control) or other assumptions that may cause actual results or performance to be materially different from those expressed or implied by these forward-looking statements. Important factors that could cause our actual results and financial condition to differ materially from those indicated in the forward-looking statements include those factors discussed under the caption “Risk Factors” in our annual report on Form 10-K, along with our other filings with the U.S. Securities and Exchange Commission (“SEC”). However, those factors should not be considered to be a complete statement of all potential risks and uncertainties. Additional risks and uncertainties not known to us or that we currently deem immaterial may also adversely affect our business operations. Forward-looking statements are based only on information currently available to our management and speak only as of the date of this communication. We do not assume any obligation to publicly provide revisions or updates to any forward-looking statements, whether as a result of new information, future developments or otherwise, except as otherwise required by securities and other applicable laws. Please consult our public filings with the SEC or on our website at www.clarivate.com.
About Clarivate
Clarivate™ is a leading global provider of transformative intelligence. We offer enriched data, insights & analytics, workflow solutions and expert services in the areas of Academia & Government, Intellectual Property and Life Sciences & Healthcare. For more information, please visit www.clarivate.com.
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Artificial Intelligence

CGTN: 3rd CMG Forum in Beijing discusses AI development

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BEIJING, May 1, 2024 /PRNewswire/ — Focusing on the development of AI, the third CMG Forum was held on Monday in Beijing.

Li Shulei, a member of the Political Bureau of the Communist Party of China (CPC) Central Committee and the head of the Publicity Department of the CPC Central Committee, attended the opening of the event and delivered a speech.
Guests at the forum stressed the role of media in promoting the innovative application of AI as well as its governance.
Efforts should also be made to boost the development of AI in creating positive, healthy, diverse and high-quality content, so that AI can become a force for good and benefit mankind, they agreed.
They also called on media to accelerate intelligent transformation and help bridge international exchanges and cooperation on the governance of AI to facilitate its healthy, orderly and safe development.
Hosted by China Media Group (CMG), the forum attracted more than 200 participants from international organizations, media, think tanks and multinational companies.
“Innovation and breakthroughs in science and technology not only guide the development and progress of human civilization, but also bring uncertainty to the changing world,” said Shen Haixiong, vice minister of the Publicity Department of the CPC Central Committee and president of CMG. He called for efforts to jointly create valuable and responsible artificial intelligence.
AI technology is affecting every aspect of our lives. Thomas Bach, president of the International Olympic Committee (IOC), stated in a video speech that CMG has always been a partner of the IOC, bringing the charm of the Olympic Games to hundreds of millions of Chinese viewers. He said the IOC invites CMG to work together for the creation of a future with the application of AI in Olympic sports.
“From ancient inventions such as silk, printing and the compass to modern technological advances such as robotics, telecommunications and green technology, China has always been committed to innovation and creation,” said Daren Tang, director general of the World Intellectual Property Organization (WIPO). He said WIPO pays close attention to ensuring a balance between the opportunities and risks of artificial intelligence and is committed to strengthening cooperation to ensure that artificial intelligence is properly used.
https://news.cgtn.com/news/2024-04-30/3rd-CMG-Forum-in-Beijing-discusses-AI-development-1tdDcXvCexG/p.html

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