Author: OurCrowd

[Clinch in PR Newswire] Clinch introduces first-to-market dynamic font feature and automated subtitles to eliminate bottlenecks in multilingual ad creative

NEW YORK, March 4, 2025 /PRNewswire/ — Clinch, the AI-powered technology company that brings efficiency, productivity, and intelligence to omnichannel advertising, today announced the launch of two creative solutions within its Flight Control platform: Dynamic Fonts and Automated and Dynamic Video Subtitles. These innovations empower global advertisers to streamline creative workflows, accelerate speed-to-market, and deliver personalized messaging to localized markets with unprecedented efficiency, resulting in an average 2x increase in speed-to-market for global enterprise retailers. Read more...

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[SaNOtize in openPR] SaNOtize launches NOWONDER Nasal Spray in the U.S.

SaNOtize, Enovid’s first-ever groundbreaking antiviral solution, is pleased to launch NOWONDER in the U.S. A rebranded Enovid, NOWONDER [https://buyenov.com/pages/no-wonder] is a premium nasal cleansing spray designed to refresh, cleanse, and maintain nasal hygiene. Developed with a focus on daily wellness, this nasal spray offers U.S. consumers a gentle yet effective cleansing experience, helping them feel refreshed and clear-headed throughout the day. Featuring SaNOtize’s cutting-edge nitric oxide technology, NOWONDER delivers advanced nasal cleansing, viral protection, and sinus health support. Read more...

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[Eko Health in PR Newswire] Eko Health announces new study demonstrating AI-assisted detection of reduced ejection fraction

SAN FRANCISCO, March 3, 2025 /PRNewswire/ — Eko Health, a leader in artificial intelligence (AI) for the early detection of heart and lung diseases, today announced the publication of a peer-reviewed study in JACC Advances evaluating its FDA-cleared AI model for detecting reduced ejection fraction (EF), a common marker of a weakened heart that can’t pump blood effectively (also known as heart failure with reduced ejection fraction, HFrEF). The study assessed the model’s ability to analyze heart sound and single-lead electrocardiogram (ECG) data recorded via a digital stethoscope to identify individuals with actionably low EF (EF≤40%). Read more...

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