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UK National Screening Committee Report Singles Out Eyenuk’s EyeArt as the Only Diabetic Eye Screening AI Technology Ready for Live Clinical Implementation in the National Health Service

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LOS ANGELES, June 01, 2022 (GLOBE NEWSWIRE) — Eyenuk, Inc., a global artificial intelligence (AI) medical technology and services company and the leader in real-world applications for AI Eye Screening™ and AI Predictive Biomarkers™, announced today that its EyeArt® system has been confirmed to have “sufficient high quality evidence” as “safe and cost-effective,” and is the only diabetic eye screening AI technology ready for live clinical implementation in the United Kingdom, according to the report, Automated grading in the Diabetic Eye Screening Programme- External review against programme appraisal criteria for the UK National Screening Committee.”

The comprehensive review of 10 AI algorithms’ performance, reported in peer-reviewed publications, was conducted for the UK National Screening Committee (NSC), which provides advice about all aspects of population screening to the National Health Service (NHS) and the ministers of the four UK countries (England, Scotland, Wales, and Northern Ireland).

The 169-page NSC report identified the EyeArt v2.1 algorithm for autonomous diabetic retinopathy screening as the only AI technology ready for live clinical implementation in the UK. Study authors concluded that “there is sufficient high-quality evidence from the EDESP (English Diabetic Eye Screening Program) that EyeArt v2.1 may be safe and cost-effective either using it for level 1 grading or as a filter prior to manual grading.”

The EyeArt system is now being planned for live clinical use within the North East London NHS Diabetes Eye Screening Programme as part of a project led by the Moorfields Eye Hospital NHS Foundation Trust and supported jointly by the NHSX AI Lab and the UK Health Foundation. The funded program will implement the live clinical use of artificial intelligence and assess its effectiveness in addressing racial and ethical health inequalities, and its acceptability by healthcare providers and people with diabetes.

“We are gratified by the NSC’s confirmation that the EyeArt system stands out from other solutions for its safety and cost-effectiveness and would like to thank our clinical collaborators within various diabetes eye screening programs (DESP) throughout the National Health Service,” said Kaushal Solanki, PhD, founder and CEO of Eyenuk. “We look forward to working with the Moorfields Eye Hospital and the North East London NHS DESP to deploy the EyeArt system for live clinical use.”

The UK has been leading the world in diabetic retinopathy screening, achieving patient uptake rates of over 80% (screening nearly 2.5 million diabetes patients annually). In most countries, fewer than half of diabetes patients receive annual eye screening. Thanks to the UK’s comprehensive screening program, it is the only country where diabetic retinopathy is no longer the leading cause of blindness in the working-age adults.

Eyenuk will showcase the EyeArt AI System during the American Diabetes Association’s 82nd Scientific Sessions in New Orleans, June 3-7. Attendees can visit booth #1709 to learn how the EyeArt system can help their organizations improve diabetes management and population health.

About Eyenuk, Inc.
Eyenuk, Inc. is a global artificial intelligence (AI) medical technology and services company and the leader in real-world AI Eye Screening™ for autonomous disease detection and AI Predictive Biomarkers™ for risk assessment and disease surveillance. Eyenuk is on a mission to screen every eye in the world to ensure timely diagnosis of life- and vision-threatening diseases, including diabetic retinopathy, glaucoma, age-related macular degeneration, stroke risk, cardiovascular risk, and Alzheimer’s disease. Find Eyenuk online on its website, Twitter, Facebook, and LinkedIn.

About the EyeArt AI System
The EyeArt AI System provides fully autonomous diabetic retinopathy (DR) screening, including retinal imaging, DR detection based on international clinical standards and immediate reporting, in a single office visit during a diabetic patient’s regular exam. Once the patient’s fundus images have been captured and submitted to the EyeArt AI System, the DR detection results are available in a PDF report in less than 30 seconds.

The EyeArt AI System was developed with funding from the U.S. National Institutes of Health (NIH) and is validated by the U.K. National Health Service (NHS). In addition to U.S. Food and Drug Administration (FDA) 510(k) clearance, the EyeArt AI System has CE marking as a class 2a medical device in the European Union and a Health Canada license. It is the most extensively validated AI technology for autonomous DR detection, tested on over 500,000 patients globally with 2 million images collected in clinical environments. It is designed to be General Data Protection Regulation (GDPR) and Health Insurance Portability and Accountability Act of 1996 (HIPAA) compliant. The EyeArt AI System is reimbursable by government and private payors in the U.S. under the newly created Category 1 Current Procedural Terminology (CPT) code 92229.

VIDEO: Learn more about the EyeArt AI System for Autonomous Detection of Diabetic Retinopathy

Media Contact
Todd Stein
+1 510 417 0612
[email protected]

Eyenuk, Inc. Contact
Frank Cheng, President & CCO
+1 818 835 3585
[email protected]

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Artificial Intelligence

Compact Solutions, Mighty Results: Cervoz Unleashes the Power of Edge Computing

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TAIPEI, May 20, 2024 /PRNewswire/ — Cervoz Technology, a leader in industrial-grade storage, memory, and expansion solutions, is powering the evolution of edge computing with its innovative solutions.

In today’s data-rich landscape, businesses rely on insights from IoT devices. With advancements in AI and 5G, data volumes surge, straining traditional cloud computing with bandwidth and latency issues. Edge Computing emerges as a solution, processing data at its source for real-time insights crucial for applications like digital twins, autonomous vehicles, and smart healthcare.
What is Edge Computing?
Edge Computing is a decentralized IT architecture that processes data near its origin, often at the network’s edge. This approach divides tasks from central data centers to edge devices and nodes. It enables faster, deeper insights and enhances responsiveness, improving speed and reducing latency compared to centralized clouds. Typically, an Edge Computing system comprises three layers: device, edge, and cloud.
The Device Layer
The device layer, situated closest to the physical world, comprises endpoint devices such as sensors, controllers, and cameras, among others. The layer prioritizes data collection and initial processing for real-time response and efficiency. It requires highly reliable, compact, and energy-efficient components. Cervoz’s M.2 2230 (A+E key /B+M key) NVMe SSDs and DDR4 SO-DIMM modules optimize this setup with fast data access and efficient storage in space-saving designs. They operate reliably across a wide temperature range (-40°C to 85°C) and feature additional conformal coating and anti-vibration filling for enhanced performance in harsh environments.
The Edge Layer
The edge layer, composed of edge servers and gateways, serves as a crucial link between device-layer data sources and cloud-based operations. It is designed for extensive data handling, filtering, and analytics, emphasizing quick operations and real-time responses to minimize reliance on remote data centers. For optimal performance, components must manage high processing loads with minimal latency and maximum stability. NVMe SSDs boasting PCIe Gen3 or higher, such as the Cervoz NVMe PCIe Gen3x4 SSD, with compact M.2 form factors, advanced DRAM cache buffer, and LDPC ECC technology, are perfectly suited for the edge layer. These SSDs enable efficient directory and error correction during high-speed data transfers, thus enhancing data accuracy and reliability.
The Cloud Layer
The cloud layer requires intensive processing and long-term storage, performing analytics, operating AI and machine learning, and managing extensive data systems across various edge locations. It demands high-performing and reliable components. Cervoz NVMe PCIe Gen4x4 SSDs excel with Read/Write speeds of up to 7,100/6,190 MB/s and 4K random IOPS up to 1,000K, with aluminum heatsinks and thermal throttling for overheating issues. DDR5-5600 DRAM boosts this setup with high data throughput and efficient power use, satisfying rigorous computational needs.
Interlayer Connectivity
Reliable, low-latency network connectivity is crucial as data flows between the device layer, edge, and cloud. Cervoz 10GbE Low-Profile Ethernet Card provides high-speed, stable wired connections in high-bandwidth, low-latency environments. Additionally, the new PCIe Compact Low-Profile Ethernet Card is ideal for narrow edge device enclosures. For areas where wiring is impractical, M.2 Wi-Fi cards offer essential wireless flexibility. These connectivity options ensure a solid foundation for seamless data management across all layers.
Cervoz offers comprehensive solutions to enhance edge computing capabilities. From compact NVMe SSDs and DRAM modules, to advanced modular expansion cards, enabling seamless integration, optimized performance, and unmatched reliability in edge computing deployments.
About Cervoz
Based in Taiwan, Cervoz Technology boasts almost twenty years of expertise in developing and providing industrial-grade storage, memory, and expansion solutions across a myriad of global industrial sectors.
ContactsSales: [email protected] 
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Artificial Intelligence

Team Exponentia.ai UK attended the AWS summit in London

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Team Exponentia.ai UK celebrates Sanjay Kumar’s insightful session at the AWS summit in London
LONDON, May 20, 2024 /PRNewswire/ — Sanjay Kumar, Head of Exponentia.ai in UK & Europe, delivered an impactful presentation on Driving Manufacturing Innovation through AWS Analytics & AI. The recently concluded AWS Summit took place on the 24th of April in ExCeL, London.

Sanjay shared the stage at Theatre B with Adrian Pinder from DS Smith and Ahmed Raafat from AWS, captivating the audience with insights and experiences from Exponentia.ai’s collaboration with DS Smith.
During the session, Sanjay Kumar highlighted Exponentia.ai’s impressive use cases and case studies, including the Data Factory and Procurement Spend Analytics (PSA) projects undertaken in partnership with DS Smith. These initiatives demonstrated Exponentia.ai’s commitment to leveraging the AWS ecosystem to drive operational efficiency and business growth in the manufacturing sector.
The Exponentia.ai team seized the opportunity to engage with industry peers, partners, and friends, while also exploring the latest innovations showcased at the summit. Their participation in various sessions and visits to innovative booths further enriched their understanding of industry trends and best practices.
Reflecting on the event, Sanjay Kumar expressed his enthusiasm, stating, “The AWS Summit in London provided an excellent platform for us to showcase our expertise in manufacturing analytics and AI. The overwhelming response from attendees reaffirms the value of our solutions in driving innovation and transformation across industries and our commitment to deliver value to our customers through data. We look forward to continuing our collaboration with AWS and our partners to deliver impactful outcomes for our clients.”
The AWS Summit London 2024 marked a significant milestone for Exponentia.ai, reinstating its commitment to excellence and innovation in the field of AI and analytics. As the team eagerly anticipates future events, they remain dedicated to empowering businesses with transformative technology solutions.
For more information about Exponentia.ai and its innovative offerings, please visit www.exponentia.ai. 
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Clarivate Launches AI-Enhanced Solution to Accelerate Trademark Watching

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Providing faster and more accurate answers to critical business questions
LONDON, May 20, 2024 /PRNewswire/ — Clarivate Plc (NYSE: CLVT), a leading global provider of transformative intelligence, launched the first publicly available version of Trademark Watch Analyzer today at the 2024 International Trademark Association Annual Meeting. As the next-generation trademark protection solution enhanced by artificial intelligence (AI) and cloud technology, this solution combines Clarivate global trademark and case law data, in-house IP expertise, and cutting-edge AI technology. It will provide faster and more accurate answers to critical business questions by automating key trademark watching tasks and intelligently prioritizing result sets.

Trademark Watch Analyzer connects users to trademark datasets in 258 countries and territories across 191 official trademark registers, as well as data from 7+ million trademark litigation cases. This content is harmonized and connected through AI algorithms which query, connect and mine both datasets delivering advanced insights in supported watch products. This revolutionizes the way trademark watch results are delivered, so that clients can rank results based on their chance of success/opposition.
According to data from SAEGIS®, a CompuMark™ trademark solution from Clarivate, the number of trademark applications filed globally each year has more than doubled since 2014. With over one million new trademarks added to trademark registers around the world each month, the risk of infringement has never been greater, making vigilance of trademark applications essential to protect and grow strong brands.
Gordon Samson, President, Intellectual Property, Clarivate, said: “As the global business landscape grows more complex, trademark professionals are faced with challenges including more data, less context and shorter deadlines. Our advanced AI-driven solution enables clients to confidently monitor their trademarks anywhere in the world, with global monitoring and automated alerts, while also saving time, costs and critical resources. The launch of the Trademark Watch Analyzer is the latest example of our Think forward™ promise — connecting clients to trusted intelligence to ensure an IP-empowered tomorrow.”
With a more intuitive design and user interface, Trademark Watch Analyzer will enable clients to have a much-improved user experience as they work with their results. The navigation will be based on the same architecture as the Brand Landscape Analyzer launched in 2023, providing clients with a more cohesive experience within the Clarivate product suite.
Find out more about Trademark Watch Analyzer here.
About ClarivateClarivate™ 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
Media Contact: Jack Wan, External Communications Director [email protected]
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