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VASRO Research Highlights Ainos' Expansion of Smell AI Into Patient-Level Breath Intelligence

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Ainos (NASDAQ:AIMD) announced that VASRO Research published an update highlighting Ainos' planned expansion of its AI Nose platform into patient-level breath intelligence. The one-year research program with National Taiwan University, starting July 1, 2026, will evaluate AI-analyzed breath patterns in patients with shortness of breath.

The study focuses on distinguishing acute exacerbations of COPD from acute decompensated heart failure, conditions that may appear similar but need different clinical responses. According to Ainos, digitized breath scent data may expand real-world inputs for its Smell Language Model (SLM) across diverse use cases.

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News Market Reaction – AIMD

+1.64%
1 alert
+1.64% Session close to close
$15.60M Market Cap
3.58K Volume

In the Jun 22 session, AIMD gained 1.64%, reflecting a mild positive market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

This announcement extends Smell AI from environmental sensing to patient-level breath intelligence v...
Analysis

This announcement extends Smell AI from environmental sensing to patient-level breath intelligence via a 1-year NTU program. It builds on multiple AI-tag milestones, but prior reactions have averaged -3.25%, and recent insider activity skews toward selling.

Key Figures

Research program duration: 1 year Program start date: July 1, 2026
2 metrics
Research program duration 1 year AI Nose patient-level breath intelligence study with National Taiwan University
Program start date July 1, 2026 Scheduled launch of AI-analyzed breath pattern research

Previous AI Reports

5 past events · Latest: Jun 17 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Jun 17 AI breath intelligence Positive +8.5% Launch of one-year NTU program for AI-driven digital breath intelligence in ER care.
Jun 05 ED operations study Positive -12.6% VASRO report on AI Nose expansion into live emergency department environmental sensing.
Jun 03 Healthcare AI study Positive -6.8% Zacks SCR article on NTUH emergency department AI Nose infrastructure deployment.
Jun 01 ER risk analysis Positive -2.1% Launch of Smell AI ER study for overcrowding and respiratory infection risk mapping.
May 20 AI Nose commercialization Positive -3.3% VASRO update on AI Nose commercialization and multi-sector deployment initiatives.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-tag updates have produced mixed reactions, with an overall slightly negative average move despite generally positive operational news.

Key Terms

chronic obstructive pulmonary disease, acute decompensated heart failure
2 terms
chronic obstructive pulmonary disease medical
"help distinguish acute exacerbations of chronic obstructive pulmonary disease ("COPD") from"
Chronic obstructive pulmonary disease (COPD) is a long-lasting lung condition that makes breathing progressively harder by narrowing airways and destroying air sacs, like an increasingly clogged and leaky air pipe. It matters to investors because COPD represents a large, growing market for treatments, diagnostics and medical devices, influences healthcare spending and insurance costs, and is a frequent focus of regulatory reviews and clinical trials that can materially affect company value.
acute decompensated heart failure medical
"COPD") from acute decompensated heart failure among patients presenting with shortness of breath."
A sudden worsening of heart function that causes rapid buildup of fluid and severe breathlessness, often requiring emergency care or hospital admission. Think of the heart as a pump that suddenly loses power and allows fluid to back up into the lungs and body; this is an urgent medical problem that drives demand for hospital services, drugs, medical devices and long-term care, and can quickly affect the commercial and regulatory outlook for companies tied to heart-failure treatment.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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HOUSTON, TX / ACCESS Newswire / June 22, 2026 / Ainos, Inc. (NASDAQ:AIMD)(NASDAQ:AIMDW) ("Ainos" or the "Company"), a Smell AI company digitizing scent into machine-readable data for artificial intelligence applications, today highlighted a new update report published by VASRO GmbH ("VASRO") reviewing Ainos' planned expansion of its AI Nose platform into patient-level breath intelligence.

The VASRO update reviews Ainos' recently announced one-year research program with National Taiwan University, scheduled to begin on July 1, 2026, to evaluate whether AI-analyzed breath patterns may help distinguish acute exacerbations of chronic obstructive pulmonary disease ("COPD") from acute decompensated heart failure among patients presenting with shortness of breath. While these conditions can appear similar on arrival, they may require different clinical responses.

VASRO characterized the program as an expansion of Ainos' AI Nose platform from environmental sensing into patient-level breath analysis, extending Smell ID into a new source of real-world scent data. By digitizing breath-related scent patterns into data, the program may further broaden the datasets supporting the Company's Smell Language Model ("SLM") across diverse use-cases.

"This research program applies our AI Nose platform to a high-value emergency-care challenge where time and diagnostic clarity matter," said Eddy Tsai, Chairman, President and Chief Executive Officer of Ainos. "It also reflects the continued expansion of Smell AI from sensing environments toward capturing and interpreting patient-level breath data."

The full VASRO report is available here:

https://vasro.de/wp-content/uploads/2026/06/VASRO-GmbH_Update_Report_Ainos_Inc_06222026_EN.pdf

About AI Nose

AI Nose digitizes scent into Smell ID, an AI-driven form of scent intelligence. The full-stack electronic nose platform integrates high-precision sensor arrays with proprietary AI algorithms designed to support ppb-level scent detection sensitivity, subject to application conditions and deployment configurations. Smell ID converts analog scent signals into structured, actionable data, while the proprietary Smell Language Model (SLM) is designed to learn, classify, and contextualize complex scent patterns over time.

Built upon more than a decade of accumulated scent data and deep medtech expertise, AI Nose is designed to support continuous monitoring, predictive analysis, and real-time alerts across industrial and manufacturing environments. AI Nose is offered under a SmellTech-as-a-Service architecture, intended to support ongoing access to scent intelligence, analytics, and AI-driven insights through subscription-based deployment models.

About Ainos, Inc.

Ainos, Inc. (NASDAQ:AIMD) is a dual-platform AI and biotech company pioneering smelltech and immune therapeutics. Its AI Nose platform and smell language model (SLM) digitize scent into Smell ID, a machine-readable data format, powering intelligent sensing across robotics, smart factories, and healthcare. The company also develops VELDONA®, a low-dose oral interferon targeting rare, autoimmune, and infectious diseases. Ainos, a fusion of "AI" and "Nose," is redefining machine perception for the sensory age. To learn more, visit https://www.ainos.com. Follow Ainos on X, formerly known as Twitter, (@AinosInc) and LinkedIn to stay up-to-date. Visit media room https://ainos.suite.accessnewswire.com.

Forward-Looking Statements

Certain statements in this press release are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. All statements other than statements of historical fact are forward-looking statements. Forward-looking statements are based on management's current assumptions and expectations of future events and trends, which affect or may affect the Company's business, strategy, operations or financial performance, and actual results and other events may differ materially from those expressed or implied in such statements due to numerous risks and uncertainties. Forward-looking statements are inherently subject to risks and uncertainties, some of which cannot be predicted or quantified. There are a number of important factors that could cause actual results, developments, business decisions or other events to differ materially from those contemplated by the forward-looking statements in this press release. These factors include, among other things, our expectation that we will incur net losses for the foreseeable future; our ability to become profitable; our ability to raise additional capital to continue our product development; our ability to accurately predict our future operating results; our ability to advance our current or future product candidates through clinical trials, obtain marketing approval and ultimately commercialize any product candidates we develop; the ability to obtain and maintain regulatory approval of our product candidates; delays in completing the development and commercialization of our current and future product candidates; developing and commercializing additional products, including diagnostic testing devices; our ability to compete in the marketplace; compliance with applicable laws, regulations and tariffs, and factors described in the Risk Factors section of our public filings with the Securities and Exchange Commission (SEC). Because forward-looking statements are inherently subject to risks and uncertainties, you should not rely on these forward-looking statements as predictions of future events. These forward-looking statements speak only as of the date of this press release and, except to the extent required by applicable law, the Company undertakes no obligation to update or revise these statements, whether as a result of any new information, future events and developments or otherwise.

Contact Information
Investor Relations
ir@ainos.com

SOURCE: Ainos, Inc.



View the original press release on ACCESS Newswire

FAQ

What did VASRO highlight about Ainos (NASDAQ:AIMD) on June 22, 2026?

VASRO highlighted Ainos' plan to expand its Smell AI technology into patient-level breath intelligence. According to Ainos, VASRO reviewed a new update on the AI Nose platform and its upcoming clinical research on shortness-of-breath patients with COPD and acute heart failure.

What is Ainos' AI Nose patient-level breath intelligence research program with National Taiwan University?

Ainos plans a one-year AI Nose research program with National Taiwan University starting July 1, 2026. According to Ainos, the study will analyze breath patterns to explore whether AI can help differentiate COPD exacerbations from acute decompensated heart failure in patients presenting with shortness of breath.

How could Ainos' Smell AI help distinguish COPD from acute heart failure in emergency settings?

Ainos aims to use AI to evaluate breath scent patterns from shortness-of-breath patients. According to Ainos, the program investigates whether digitized breath data can support distinguishing acute COPD exacerbations from acute decompensated heart failure, potentially informing different clinical responses in emergency-care environments.

When does Ainos' one-year breath analysis study for COPD and heart failure start?

The one-year breath analysis research program is scheduled to begin on July 1, 2026. According to Ainos, the collaboration with National Taiwan University will follow patients presenting with shortness of breath and collect breath-related scent data for AI-based pattern evaluation.

How does the new research expand Ainos' AI Nose platform beyond environmental sensing?

The research extends AI Nose from environmental sensing into patient-level breath analysis. According to Ainos, digitizing breath-related scent patterns will create a new source of real-world data, broadening inputs for its Smell ID system and supporting the Smell Language Model in healthcare-focused use cases.

What role will Ainos' Smell Language Model (SLM) play in the COPD and heart failure study?

The study is expected to add breath-related scent data to Ainos' Smell Language Model. According to Ainos, these datasets may help refine the SLM across diverse applications by incorporating patient-level breath intelligence linked to complex conditions like COPD exacerbations and acute decompensated heart failure.