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AI Optics Receives FDA Clearance, Increasing Patient Access to Retinal Screening

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NEW YORK, Jan. 28, 2025 /PRNewswire/ — AI Optics Inc., an AI-focused medical device company announced today that it has received FDA 510(k) clearance for its Sentinel Camera. This handheld retinal imaging system captures high-quality images of the human eye, helping to address critical gaps in retinal disease screening through a portable and accessible solution.

Revolutionizing retinal screening: AI Optics’ FDA-cleared Sentinel Camera brings retinal screening anywhere.

Over one billion people are at risk for retinal diseases, yet access to screening remains limited due to specialist shortages, cost, and convenience barriers. The Sentinel Camera helps tackle these challenges by enabling point-of-care retinal imaging, eliminating the need for some patients to visit an eye specialist’s office. It is intentionally designed to be easy to use and support non-dilated imaging, while being both affordable and portable. The design was also developed to meet the needs of general healthcare providers, including primary care, optometry, retail health clinics, and home health settings, ensuring accessibility and practicality in these environments. 

Collaborating with NYU Langone Health
AI Optics is strategically collaborating with NYU Langone Health to advance the accessibility and implementation of retinal screening technology. This partnership aligns with AI Optics’ mission to address the global challenge of preventable blindness by providing innovative tools that meet the needs of healthcare providers and patients. The FDA clearance of the Sentinel Camera marks a pivotal step in this journey, enabling the integration of high-quality, portable imaging into diverse healthcare environments.

“Early detection of retinal diseases is critical to preserving vision. At NYU Langone Health, we are dedicated to advancing innovative approaches that enhance access to retinal screening while continually improving patient outcomes” said Kathryn Colby, MD, PhD, the Elisabeth J. Cohen, MD, Professor of Ophthalmology and Chair of the Department of Ophthalmology at the NYU Grossman School of Medicine.

A Foundation for Future Innovation
AI Optics is also developing AI-based retinal screening software for future integration, with a plan to provide a comprehensive end-to-end solution for detecting retinal diseases like diabetic retinopathy, glaucoma, and macular degeneration.

“Our vision with the Sentinel Camera is to eliminate barriers to retinal screening and ensure that every patient who needs screening has access,” said Luke Moretti, Co-Founder and CEO of AI Optics. “This FDA clearance not only validates our significant progress to breaking down screening barriers but also sets the stage for our future AI-powered screening solutions, which will integrate seamlessly with the Sentinel Camera to deliver unparalleled accessibility and efficiency in retinal disease detection.”

The Sentinel Camera supports DICOM-compliant image formats, allowing integration with Electronic Health Record (EHR) systems to streamline care coordination, billing, and data sharing. When combined with AI Optics’ upcoming AI capabilities, the system will further enhance point-of-care screening workflows and diagnostic efficiency, significantly improving early detection and outcomes for patients.

The Sentinel Camera’s development was driven by the urgent need to address the global burden of preventable vision loss. By creating tools that bring screening directly to point-of-care settings, AI Optics is empowering healthcare providers to deliver early and accurate retinal disease diagnoses to patients across diverse settings, improving accessibility and outcomes for all.

Disclosures:

NYU Langone Health holds equity in AI Optics. These interests are being disclosed and managed in accordance with NYU Langone Health policies.

For more information about the Sentinel Camera and AI Optics’ innovative solutions, visit www.aioptics.ai.

Contact for media enquiries
Luke Moretti
Co-Founder and CEO, AI Optics
Luke@aioptics.ai

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SOURCE AI Optics Inc.

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Electrolux Group to end production in Jászberény, Hungary

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STOCKHOLM, April 22, 2026 /PRNewswire/ — Electrolux Group has decided to end production at the Jászberény, Hungary factory, which manufactures built-in and freestanding refrigeration products. Production is expected to cease by the end of 2026. A restructuring charge of approximately SEK 0.6 billion, of which SEK 0.3 billion is cash related, will be reported as a negative non-recurring item affecting operating income for Region Europe, Middle East & Africa and Asia-Pacific in the second quarter of 2026.

The decision follows a review of the company’s strategy to strengthen cost competitiveness and increase agility through production footprint optimization. This is driven by the current competitive environment, which is impacted by stagnant market demand, price pressure, and increasing constraints on cost competitiveness. The planned site closure will impact approximately 600 employees.

Electrolux Group will fully meet demand for refrigeration products by leveraging existing operations as well as working with external OEM partners. The decision does not affect the local sales and marketing activities managed by the Budapest office. 

This is information that AB Electrolux is obliged to make public pursuant to the EU Market Abuse Regulation. The information was submitted for publication, through the agency of the contact person set out below, on 22-04-2026 08:30 CET.

For more information:

Ann-Sofi Jönsson, Head of Investor Relations & Sustainability Reporting, +46 73 025 1005

Maria Åkerhielm, Investor Relations Manager, +46 70 796 3856

Henry Sjölin, Investor Relations Manager, +46 76 863 51 85

Electrolux Group Press Hotline, +46 8 657 65 07

This information was brought to you by Cision http://news.cision.com

https://news.cision.com/electrolux-group/r/electrolux-group-to-end-production-in-jaszbereny–hungary,c4337676

The following files are available for download:

https://mb.cision.com/Main/1853/4337676/4051089.pdf

Press release Hungary April 22 2026 ENG final

 

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SOURCE Electrolux Group

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MediaGo and hipto Secure Another Les Cas d’Or Gold in Performance Marketing

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SAN FRANCISCO, April 22, 2026 /PRNewswire/ — Recently, MediaGo, a global intelligent advertising platform, and hipto, France’s premier lead generation specialist, won Gold in the “Content and Vertical Industries” category at the prestigious French digital marketing awards, Les Cas d’Or. Recognized for a benchmark performance marketing campaign in the health insurance sector, this award—voted on by over 40 brand marketing directors—serves as further authoritative validation of MediaGo’s technical prowess and service capabilities in the European market.

Following previous wins of Gold in the Native Advertising category and Bronze in the Banking & Insurance Acquisition category, this latest industry honor marks another significant milestone. It underscores that MediaGo’s localized native advertising capabilities, along with its ability to apply deep learning technologies in complex user acquisition scenarios across France and Europe, have earned high acclaim from both the market and industry experts, cementing its position at the forefront of the industry.

The French health insurance market is highly competitive and saturated. Local advertisers have long relied heavily on search and social media channels, resulting in persistently high CPAs and significant traffic inflation. Addressing these industry pain points, MediaGo and hipto collaborated to pioneer a new growth trajectory, establishing the open web as the third core acquisition pillar alongside search and social. By leveraging premium local news and information publishers in France, they seamlessly integrated native ads into media environments, providing the insurance sector with a scalable, replicable growth blueprint to effectively counter traffic inflation.

This award-winning campaign focused on scaling the acquisition of high-intent leads in the insurance sector. It successfully overcame three structural challenges inherent in traditional bidding models: reactive algorithms, high cold-start costs, and the difficulty of balancing scale with efficiency. This achievement further validates MediaGo’s strong operational capabilities and its innovation in native advertising within the French market.

Powered by five deep learning models and the newly upgraded SmartBid 3.0, MediaGo precisely predicts the conversion probability of each ad impression in real time. Paired with hipto’s high-frequency creative iterations (3–5 times per week), MediaGo continuously identifies high-potential audience clusters, further enhancing targeting precision. In addition, SmartBid 3.0’s unique “global learning” mechanism reduced the cold start learning cycle for new campaigns by 50%. This partnership enabled campaigns to achieve stable monetization from day one.

By utilizing SmartBid 3.0’s MaxCV mode, hipto’s campaigns achieved a dual breakthrough in both scale and efficiency. Data shows an immediate 32% uplift in monthly conversion volume and a threefold increase in lead volumes over the longer term, successfully expanding market share within a saturated vertical. Additionally, native ad CTR surpassed the industry benchmark by 53%, demonstrating the platform’s ability to precisely target high-intent users. Notably, even with a 48% increase in mobile budget allocation, CPA decreased by 2.6%, proving that volume scaling and margin preservation can coexist.

Leo Ye, Head of Partnerships at MediaGo, stated: “Winning the Les Cas d’Or Gold for Performance Marketing is a strong endorsement of MediaGo’s technical strength and localized service capabilities. We remain committed to a performance-driven, advertiser-centric approach, deepening our footprint in the French market to help advertisers break through growth bottlenecks in a saturated landscape.”

Looking ahead, MediaGo will continue to deepen its presence in Europe. With deep learning at its core, the platform aims to continuously enhance its native advertising capabilities and localized operations, delivering tangible value to global advertisers and empowering partners to achieve high-quality, sustainable business growth in complex market environments.

About MediaGo

MediaGo is a leading intelligent advertising platform. Based on deep learning algorithms, MediaGo empowers businesses of all scales, creating tangible value for companies. With 12 operational centers worldwide, MediaGo has successfully provided localized and comprehensive business growth services to over 10,000 partners.

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Dandelion Civilization launches a Human Intelligence Platform to make talent risk visible before it becomes expensive

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New Human Intelligence Platform helps employers assess role fit, team dynamics, and early behavioral risk to avoid costly talent decisions.

AMSTERDAM, April 22, 2026 /PRNewswire/ — Dandelion Civilization today announced the launch of its Human Intelligence Platform at HR Tech Europe 2026, introducing a new approach to talent management and workforce decision-making, built around behavioral intelligence rather than instinct alone.

The launch addresses a problem many organizations already understand but still struggle to solve. Talent mis-matches are expensive, early misalignment is difficult to correct, and quality of hire remains hard to improve because the real consequences often appear months after a decision is made. Industry estimates frequently place the total cost of hiring a new employee at several times the position’s salary, especially when poor fit leads to replacement, lost productivity, and disruption.

While much of the HR technology market has focused on the hiring stage itself, Dandelion Civilization is taking a different route. The platform is designed to help employers understand how people are likely to perform in real conditions by revealing how they think, act, and interact across hiring, team development, and workforce risk.

At the core of the platform is a behavioral intelligence layer that creates continuous, evolving profiles of individuals and teams. Rather than relying only on CVs, interviews, or static questionnaires, Dandelion Civilization uses behavioral simulations to surface signals around decision making, collaboration, pressure response, and alignment. According to the company’s launch materials, the product is built around three core areas: hiring intelligence, team dynamics, and behavioral risk. It is designed to support decisions before day one, strengthen visibility into how individuals affect team performance, and identify patterns that may point to conflict, disengagement, or misalignment before those issues damage business outcomes.

“We are not creating another assessment tool,” said Dmitry Zaytsev, Founder and CEO of Dandelion Civilization. “We are building the infrastructure for better talent decisions. Companies often discover the true cost of misalignment too late, when trust weakens, performance slips, or the hiring process has to begin again. We want to make those signals visible earlier, when organizations can still act on them.”

The company says the platform is designed to fit into existing workflows without technical friction. Employers send a link, candidates complete an online simulation, and talent teams receive a decision-ready report. The launch deck states that the simulation takes around 20 to 40 minutes, requires no integration, and works in any browser.

While the platform begins with hiring, Dandelion Civilization is positioning the launch as the first step toward a broader layer of human capital intelligence that can support team design, talent development, and earlier visibility into people related risk over time.

About Dandelion Civilization
Dandelion Civilization is building a Human Intelligence Platform that helps organizations understand how people think, act, and interact across the employment lifecycle. Using behavioral simulations and digital profiling, the platform supports hiring, team development, and earlier visibility into workforce risk. Its launch materials describe the product as a system designed to reduce talent blind spots and reveal behavior beyond profiles.

 

 

 

 

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