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Aclarion Secures U.S. Patent Advancing Scalable, AI-Driven Assessment of Chronic Low Back Pain

Rhea-AI Impact
(High)
Rhea-AI Sentiment
(Positive)
Tags
AI

Aclarion (Nasdaq: ACON, ACONW) announced issuance of U.S. Patent #12,601,803 on April 16, 2026 for a machine learning–based system to analyze magnetic resonance spectroscopy (MRS) data. The patent covers AI-driven model training, automated data quality controls, and biomarker extraction within the cloud-based Nociscan platform.

The filing expands Aclarion's intellectual property to 64 issued and pending patents worldwide and is described as enabling scale, faster reports, reduced manual reviews, and more consistent outputs across imaging systems.

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AI-generated analysis. Not financial advice.

Positive

  • Issued U.S. Patent #12,601,803 covering AI analysis of MRS data
  • Intellectual property portfolio expanded to 64 issued and pending patents worldwide
  • Nociscan patent protects AI-based automated data quality controls and biomarker extraction
  • Company cites potential for faster reports, reduced manual reviews, and scalable automation

Negative

  • None.

News Market Reaction – ACON

+3.75% 1.9x vol
5 alerts
+3.75% News Effect
+16.5% Peak Tracked
-8.1% Trough Tracked
+$264K Valuation Impact
$7.30M Market Cap
1.9x Rel. Volume

On the day this news was published, ACON gained 3.75%, reflecting a moderate positive market reaction. Argus tracked a peak move of +16.5% during that session. Argus tracked a trough of -8.1% from its starting point during tracking. Our momentum scanner triggered 5 alerts that day, indicating moderate trading interest and price volatility. This price movement added approximately $264K to the company's valuation, bringing the market cap to $7.30M at that time. Trading volume was above average at 1.9x the daily average, suggesting increased trading activity.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

Global IP portfolio: 64 issued and pending patents Surgical success rate: 97% Global prevalence: 266 million people +5 more
8 metrics
Global IP portfolio 64 issued and pending patents Worldwide, per new patent press release
Surgical success rate 97% When all Nociscan-positive discs are treated
Global prevalence 266 million people Chronic low back pain worldwide
U.S. pain market size $134.5 billion Annual U.S. low back and neck pain market (10-K)
U.S. patents 28 U.S. patents 10-K intellectual property disclosure
Foreign patents 24 foreign patents 10-K intellectual property disclosure
Registered direct shares 200,000 shares at $5.18 Registered direct offering dated January 8–9, 2026
Pre-funded warrants 1,800,000 pre-funded warrants Registered direct offering closed January 9, 2026

Market Reality Check

Price: $3.35 Vol: Volume 38,389 is below th...
low vol
$3.35 Last Close
Volume Volume 38,389 is below the 20-day average of 91,217, indicating subdued trading ahead of this AI patent news. low
Technical Shares at $3.20 are trading below the $5.85 200-day MA and sit 73.4% under the 52-week high of $12.03.

Peers on Argus

Pre-news, ACON’s modest 0.95% gain contrasts with mixed peers: WORX up 8.82%, BF...

Pre-news, ACON’s modest 0.95% gain contrasts with mixed peers: WORX up 8.82%, BFRG down 7.22%, VSEE down 2.17%, while POAI and DRIO were roughly flat. Movements do not point to a unified sector trend.

Previous AI Reports

4 past events · Latest: Apr 14 (Positive)
Same Type Pattern 4 events
Date Event Sentiment Move Catalyst
Apr 14 AI innovation award Positive -1.3% Recognition of Nociscan’s AI innovation in clinical decision support.
Sep 27 AI clinical study Positive +0.4% Study highlighting Nociscan AI’s role in understanding Modic changes.
Sep 12 AI tech update Positive +15.4% Corporate update on AI milestones, coverage, partnerships and studies.
Aug 21 AI trial launch Positive -0.6% Launch of CLUE trial to measure Nociscan AI’s impact on surgery plans.
Pattern Detected

AI-related headlines have produced mixed reactions: two positive and two negative moves, suggesting investors respond selectively to AI news quality and perceived commercial impact.

Recent Company History

Recent history shows Aclarion steadily building its AI-driven Nociscan platform and clinical evidence base. Prior AI-tagged releases included an innovation award, study data on Modic changes, a broad corporate AI milestone update, and the CLUE trial launch. Market reactions ranged from declines to a 15.38% gain, indicating that while AI advances can be catalysts, investor response has varied depending on perceived strategic and commercial significance.

Historical Comparison

+3.5% avg move · Across past AI-tagged announcements, ACON saw an average move of about 3.48%, with both strong ralli...
AI
+3.5%
Average Historical Move AI

Across past AI-tagged announcements, ACON saw an average move of about 3.48%, with both strong rallies and selloffs, showing AI news has been a meaningful but unpredictable catalyst.

AI-tagged history shows progression from launching trials (CLUE), to broad Nociscan AI corporate milestones, to clinical study data and external innovation recognition. The new AI-focused patent extends this arc by reinforcing IP around the core machine learning and biomarker engine.

Market Pulse Summary

This announcement adds a new U.S. patent around Aclarion’s machine learning platform for chronic low...
Analysis

This announcement adds a new U.S. patent around Aclarion’s machine learning platform for chronic low back pain, expanding an IP estate of 64 issued and pending patents. It reinforces the Nociscan strategy, supported by clinical data citing up to 97% surgical success and a large pain market highlighted at $134.5 billion annually in the U.S. Investors may watch how this IP strengthens commercialization, reimbursement progress, and clinical adoption trends.

Key Terms

magnetic resonance spectroscopy, machine learning, biomarkers, signal-to-noise ratio, +1 more
5 terms
magnetic resonance spectroscopy medical
"platform for analyzing magnetic resonance spectroscopy (MRS) data."
Magnetic resonance spectroscopy is a noninvasive imaging technique that uses the same physics as MRI to measure the chemical makeup of tissues, producing a “fingerprint” of molecules such as metabolites instead of detailed anatomical pictures. Investors care because this biochemical information can serve as a diagnostic marker, a drug-development endpoint, or a regulatory biomarker—helping assess clinical value, shorten trials, and guide commercial potential for medical products.
machine learning technical
"System for Machine Learning-Based Model Training and Prediction for Evaluation of Pain"
Machine learning is a set of computer programs that learn patterns from large amounts of data and improve their predictions or decisions over time, like a recipe that gets better each time it’s adjusted based on taste tests. For investors it matters because these systems can speed up analysis, spot trends or risks humans might miss, automate routine work, and potentially create competitive advantages or cost savings that affect a company’s performance.
biomarkers medical
"automate biomarker identification, accelerate report generation"
Biomarkers are measurable indicators found in the body, such as substances in blood or tissues, that reveal information about health or disease. For investors, they can signal how well a medical treatment is working or whether a disease is developing, helping to assess the potential success or risks of healthcare companies or innovations. Think of biomarkers as biological signals that provide clues about a person’s health status.
signal-to-noise ratio technical
"signals, such as excessive lipids, low signal-to-noise ratio, or spectral artifacts."
The signal-to-noise ratio measures how much useful information (the signal) stands out from irrelevant or random data (the noise). For investors, a high ratio means price moves, earnings reports or research reliably reflect real value or trends, while a low ratio means it's harder to separate meaningful signals from meaningless fluctuations—like trying to hear a single voice in a crowded room or tune a radio to a clear station, which affects confidence in decisions.
spectral artifacts technical
"low signal-to-noise ratio, or spectral artifacts. This capability will enable"
Unwanted distortions or false signals that appear in instrument-generated spectra and do not come from the actual sample being measured. Think of them as smudges on a photograph or echoes in an audio recording that can be mistaken for real detail. For investors, spectral artifacts matter because they can lead scientists or regulators to misread test results — affecting decisions about a product’s effectiveness, safety, regulatory approval, or market value.

AI-generated analysis. Not financial advice.

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  • Patent covers use of AI in workflows of future products to accelerate company’s ability to scale and enhance already strong gross margins

  • Expands intellectual property portfolio to 64 issued and pending patents worldwide, strengthening long-term competitive moat

BROOMFIELD, Colo., April 16, 2026 (GLOBE NEWSWIRE) -- Aclarion, Inc., (“Aclarion” or the “Company”) (Nasdaq: ACON, ACONW), a commercial-stage healthcare technology company leveraging biomarkers and proprietary augmented intelligence (AI) algorithms to help physicians identify the location of chronic low back pain, today announced the issuance of U.S. Patent #12,601,803, titled “System for Machine Learning-Based Model Training and Prediction for Evaluation of Pain,” covering its machine learning–based platform for analyzing magnetic resonance spectroscopy (MRS) data.

Aclarion’s cloud-based platform, Nociscan, converts complex MRS spectral data into clinically actionable insights to help physicians distinguish between painful and non-painful discs in the spine. The newly issued patent strengthens Aclarion’s ability to scale by protecting its use of AI in future versions of the platform to further automate biomarker identification, accelerate report generation and reduce manual quality reviews.

“This patent strengthens the foundation of our platform by protecting how we leverage AI to transform complex spectroscopy data into meaningful, actionable information that physicians can integrate into everyday practice,” said Brent Ness, Chief Executive Officer of Aclarion. “By combining proprietary signal processing with machine learning, we are building a scalable and defensible approach to evaluating pain that has the potential to redefine how spine conditions are assessed while enabling highly efficient scaling and strong gross margin expansion.”

The patent covers machine learning models that extract quantitative biomarkers from MRS spectral data to generate standardized classifications associated with pain-related conditions. Importantly, the patent also covers AI-based automated data quality controls that detect and exclude low-quality acquisition signals, such as excessive lipids, low signal-to-noise ratio, or spectral artifacts. This capability will enable consistent, reproducible outputs across imaging systems and sites and represents a key step toward broader clinical adoption.

The patent further expands Aclarion’s intellectual property portfolio, with 64 issued and pending patents worldwide, and underscores its strategy to build a differentiated, software-driven platform in the large and underserved chronic low back pain market. Chronic low back pain is a significant global healthcare challenge, affecting approximately 266 million people worldwide. When used alongside other diagnostic tools, clinical data has demonstrated up to a 97% surgical success rate when all Nociscan-positive discs are treated.

To read the patent, click here.

For more News from Aclarion, please visit: Latest News

To find a Nociscan center, view our site map here.

For more information on Nociscan, please email: info@aclarion.com

About Aclarion, Inc.

Aclarion is a healthcare technology company that leverages Magnetic Resonance Spectroscopy (“MRS”), proprietary signal processing techniques, biomarkers, and augmented intelligence algorithms to optimize clinical treatments. The Company is first addressing the chronic low back pain market with Nociscan, the first, evidence-supported, SaaS platform to noninvasively help physicians distinguish between painful and nonpainful discs in the lumbar spine. Through a cloud connection, Nociscan receives magnetic resonance spectroscopy (MRS) data from an MRI machine for each lumbar disc being evaluated. In the cloud, proprietary signal processing techniques extract and quantify chemical biomarkers demonstrated to be associated with disc pain. Biomarker data is entered into proprietary algorithms to indicate if a disc may be a source of pain. When used with other diagnostic tools, Nociscan provides critical insights into the location of a patient’s low back pain, giving physicians clarity to optimize treatment strategies. For more information, please visit www.aclarion.com.

Forward Looking Statements

This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934 about the Company’s current expectations about future results, performance, prospects and opportunities. Statements that are not historical facts, such as “anticipates,” “believes” and “expects” or similar expressions, are forward-looking statements. These forward-looking statements are based on the current plans and expectations of management and are subject to a number of uncertainties and risks that could significantly affect the Company’s current plans and expectations, as well as future results of operations and financial condition. Forward-looking statements in this release include, among others, statements regarding Aclarion Highlights Growing Adoption of Nociscan at The London Clinic, and the potential benefits of our Nociscan technology. These and other risks and uncertainties are discussed more fully in our filings with the Securities and Exchange Commission. Readers are encouraged to review the section titled “Risk Factors” in the Company’s Annual Report on Form 10-K for the year ended December 31, 2025, as well as other disclosures contained in the Prospectus and subsequent filings made with the Securities and Exchange Commission. Forward-looking statements contained in this announcement are made as of this date and the Company undertakes no obligation to publicly update or revise any forward-looking statements, whether as a result of new information, future events or otherwise. 

Investor Contacts:

Kirin M. Smith
PCG Advisory, Inc.
ksmith@pcgadvisory.com 

Media Contacts:

Jennie Kim
SPRIG Consulting
jennie@sprigconsulting.com


FAQ

What does Aclarion's U.S. Patent #12,601,803 cover and why does it matter for ACON?

The patent covers AI-based model training, prediction, and MRS data analysis for pain evaluation, protecting Nociscan workflows. According to Aclarion, this strengthens IP around automated biomarker extraction and data quality controls that could enable consistent outputs and broader clinical adoption.

How many patents does Aclarion have after the April 16, 2026 issuance for ACON?

After the issuance, Aclarion reports 64 issued and pending patents worldwide. According to Aclarion, the expanded portfolio is intended to strengthen the company's competitive moat for its software-driven chronic low back pain platform.

What capabilities does the new patent add to the Nociscan platform for ACON patients and clinicians?

The patent covers automated biomarker extraction and AI-based quality controls that detect low-quality signals. According to Aclarion, these features aim to accelerate report generation, reduce manual quality reviews, and produce reproducible results across imaging systems and sites.

Does Aclarion claim clinical effectiveness linked to Nociscan in the April 16, 2026 release for ACON?

The company reports clinical data showing up to a 97% surgical success rate when all Nociscan-positive discs are treated. According to Aclarion, this figure reflects outcomes when Nociscan results are used alongside other diagnostic tools.

How large is the target market Aclarion cites for chronic low back pain relevant to ACON?

Aclarion cites an estimated global population of about 266 million people affected by chronic low back pain. According to Aclarion, the condition represents a large, underserved market for its software-driven diagnostic platform.