AI/ML Innovations Inc. Announces Grant of U.S. Patent Protecting Core ECG Signal-Processing Architecture

Executive Summary

• The United States Patent and Trademark Office issued a Notice of Allowance for U.S. Patent No. 12,465,266 covering AIML’s core machine‑learning architecture for ECG signal denoising and wave‑property identification.
• The allowed claims protect the proprietary approach used in the company’s MaxYield™ and CardioYield™ products, reinforcing its competitive advantage as it moves toward commercialization and regulatory approvals.
• Company leadership highlighted the allowance as a significant milestone that strengthens AIML’s IP portfolio and supports ongoing product deployment globally.

Key Details

• Patent Information: U.S. Patent No. 12,465,266 (Notice of Allowance) for the core ML architecture behind Neural Cloud’s ECG wave‑property identification engine.
• Scope of Protection: Broad claims covering denoising of ECG signals, beat‑level morphology identification, and association of patterns with clinically meaningful cardiac rhythm conditions.
• Strategic Impact: Enhances AIML’s intellectual property position, supporting commercialization, regulatory pathways, and clinical validation across cardiology, remote monitoring, telehealth, and research applications.
• Portfolio Context: First allowance among several pending patent applications in AIML’s IP portfolio; additional filings are underway.
• Product Linkage: Underpins downstream products MaxYield™ and CardioYield™, enabling high‑fidelity, clinically interpretable cardiac insights.
• Leadership Quotes:
• Esmat Naikyar, President of Neural Cloud – “This patent represents an exciting milestone for our platform…”.
• Paul Duffy, Executive Chairman & CEO – “The allowance validates both our technical innovation and our long‑term vision…”.

Notable Quotes

• “The core signal‑processing and wave‑morphology identification engine is what enables our downstream products—including MaxYield™ and CardioYield™—to deliver high‑fidelity, clinically interpretable cardiac insights.” – Esmat Naikyar
• “It provides strong protection around the architecture we have developed, positioning AIML with a meaningful competitive advantage as we advance commercialization.” – Paul Duffy