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AccurKardia Granted Patent for AI-Driven ECG Detection of Cardiac Amyloidosis

Patent establishes IP across all major amyloidosis subtypes and transforms the standard 12-lead ECG into a screening tool for one of cardiology’s most underdiagnosed diseases

NEW YORK--(BUSINESS WIRE)--AccurKardia, Inc., an ECG analytics software company focused on establishing ECG as a broad biomarker, today announced that it has been granted US Patent No. 12,620,488 for the company's proprietary machine-learning-based system for identifying cardiac amyloidosis from a standard, routinely performed 12-lead ECG.

In heart failure clinics, studies estimate that roughly 13-15 percent of patients have undiagnosed cardiac amyloidosis. Catching it sooner steers patients away from standard heart failure treatments that may be ineffective or even harmful.

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Cardiac amyloidosis is a serious, often fatal heart disease in which abnormal proteins build up in heart tissue, causing the heart muscle to stiffen and eventually fail. Only recently recognized as a leading cause of heart failure in older adults, the condition remains widely underdiagnosed. Most patients are identified only after permanent damage to the heart has already occurred. The stakes of earlier detection are high and concrete: it impacts which treatments patients receive and how long they live. In heart failure clinics, studies estimate that roughly 13-15 percent of patients have undiagnosed cardiac amyloidosis.i Catching it sooner steers patients away from standard heart failure treatments that may be ineffective or even harmful for this condition, and toward therapies proven to improve survival.

"Cardiac amyloidosis hides in plain sight, and because the symptoms are quite similar to other causes of heart failure, we have historically relied on expensive, late-stage imaging to diagnose what is already advanced disease, often after conventional medical therapy has failed to improve symptoms," said Dr. Jason Lazar, executive vice dean, chair of the Department of Medical Education and Director of Non-invasive Cardiology at SUNY Downstate. “A reliable ECG-based screening signal, leveraging information the human eye simply cannot extract, has the potential to redefine when and how we intervene, particularly as therapeutic options continue to expand. Simply put, earlier diagnosis leads to much better outcomes.”

AccurKardia’s patent establishes its intellectual property foundation across all major amyloidosis subtypes, including AL amyloidosis and wild-type and hereditary ATTR amyloidosis. It joins a growing pipeline of AccurKardia AI-ECG biomarkers that includes FDA Breakthrough Device-designated algorithms for aortic stenosis (AK-AVS™) and hyperkalemia (AK+ Guard™), alongside the company's FDA-cleared automated ECG interpretation platform, AccurECG™ 2.0.

"Disease-modifying amyloidosis therapies are among the most important advances in cardiology in a generation, but their impact is gated by our ability to find the right patients in time," said Juan C. Jimenez, co-Founder and CEO of AccurKardia. "This patent establishes the foundation for closing that gap. We are turning a test that is already performed millions of times per year globally into a screening biomarker, deployable without new hardware or procedures, seamlessly integrating our capabilities into existing workflows."

A distinguishing feature of AccurKardia's approach is its use of explainable, feature-based machine learning, built on annotated ECG parameters, rather than a “black box” model. The design supports interpretability for clinicians, transparency for regulators, and adaptability for downstream deployment at scale.

About AccurKardia

AccurKardia is an ECG-led diagnostics software company focused on transforming ECG data into a more powerful diagnostic tool and broad biomarker to improve patient outcomes and save lives globally. With initial applications in cardiology, the company offers transformative, cloud-based diagnostic tools, including AccurECG™ 2.0, an FDA-cleared Class II software as a medical device (SaMD) for fully automated, near real-time ECG interpretation. AccurKardia is also advancing an investigational pipeline of ECG-based biomarkers, including AK+ Guard™ for hyperkalemia risk assessment using Lead I ECG, and AK-AVS™ for aortic stenosis risk assessment, both of which have received FDA Breakthrough Device Designation. For more information, please visit www.accurkardia.com.

Disclaimers:

The cardiac amyloidosis detection algorithm is currently for research use only and has not been cleared by the U.S. FDA for use in the United States. For detailed technical AccurECG 2.0 requirements, relevant disclosures, and approved indications for use, please refer to the U.S. FDA 510(k) K252361 summary and product labeling. AK-AVS and AK+ Guard are currently for research use only and have not been cleared by the U.S. FDA for use in the United States. This technology is under development and intended solely for investigational purposes.

i See, ASY, Ho, JS, Chan, MY, et. al. Prevalence and Risk Factors of Cardiac Amyloidosis in Heart Failure: A Systematic Review and Meta-Analysis. Heart Lung Circ. 2022 Nov;31(11):1450-1462. doi: 10.1016/j.hlc.2022.08.002. Epub 2022 Sep 20. PMID: 36137915.

Contacts

Media Contact:
Sam Choinski
Pazanga Health Communications
schoinski@pazangahealth.com
(860) 301-5058

AccurKardia, Inc.


Release Versions

Contacts

Media Contact:
Sam Choinski
Pazanga Health Communications
schoinski@pazangahealth.com
(860) 301-5058

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