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Ainos, MacKay Memorial Hospital and Topco Scientific Partner to Advance Smell AI Deployment in High-Risk Hospital Environments

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Ainos (NASDAQ:AIMD) announced a partnership with MacKay Memorial Hospital and Topco Scientific to deploy its AI Nose Smell AI platform in high-risk hospital environments starting April 2026. Initial deployment targets four core areas: power/electromechanical, gas/HVAC, chemical handling, and clinical labs including MRI suites.

The program aims to create a hospital-level environmental intelligence layer that models scent baselines, detects real-time anomalies, and supports earlier awareness of infection, chemical, and infrastructure risks while validating platform-level adoption and system integration.

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Positive

  • Healthcare entry: Transition from industrial to clinical infrastructure applications beginning April 2026
  • Targeted deployment: Pilot covers four high-risk hospital areas including HVAC, gases, chemicals, and clinical labs
  • Platform adoption model: Partnership with Topco and MacKay establishes a replicable system-integration route
  • Real-world validation: Continuous sensing aims to build baseline profiles and detect operational anomalies in hospitals

Negative

  • Initial rollout limited to a single hospital pilot at MacKay Memorial Hospital
  • No commercial contract values or revenue timing disclosed in the announcement

News Market Reaction – AIMDW

-17.96%
-17.96% Session close to close

In the Apr 8 session, AIMDW declined 17.96%, reflecting a significant negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

The stock dropped -18.0% in the session following this news. A negative reaction despite expansion i...
Analysis

The stock dropped -18.0% in the session following this news. A negative reaction despite expansion into high-risk hospital environments would fit a pattern where upbeat AI announcements sometimes met selling, including moves of -15.15% and -15.28% on prior AI news. Such a decline could reflect concerns about execution risk or capital needs implied by past at-the-market usage rather than the partnership details alone, given the stock’s position well below its 52-week high before this news.

Key Figures

High-risk hospital areas: 4 environments Deployment start: April 2026
2 metrics
High-risk hospital areas 4 environments Initial AI Nose deployment scope in MacKay Memorial Hospital
Deployment start April 2026 Planned launch of hospital AI Nose deployment program

Previous AI Reports

5 past events · Latest: Feb 23 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Feb 23 AI deployment roadmap Positive +10.9% Announced phased roadmap for up to 20,000 AI Nose units with ASE.
Feb 09 AI live deployments Positive +34.3% Began live AI Nose deployments after initial $2.1M back-end order.
Feb 04 AI platform discussion Positive -15.2% Fireside chat highlighting SmellTech platform and ~$2.1M multi-year orders.
Jan 12 AI distribution deal Positive -15.3% Trusval agreement with minimum 600 units and SaaS-style revenue focus.
Jan 02 AI strategy outline Positive +0.0% Outlined long-term strategy to digitize smell as native AI data language.

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

Pattern Detected

AI-tagged announcements often read positively but have produced mixed reactions, with both sharp gains and notable selloffs following platform and deployment updates.

Recent Company History

Over recent months, Ainos has consistently framed AI Nose as a scalable SmellTech platform, moving from strategic vision to concrete orders and deployment roadmaps. AI-tagged news since January 2026 has included platform strategy articulation, a distribution deal for 600 units, multi‑year semiconductor orders of about $2.1M, and a roadmap toward 20,000 units. Reactions ranged from double‑digit gains to double‑digit declines, underscoring volatile sentiment around AI infrastructure expansion. Today’s hospital‑focused AI deployment extends that same platform narrative into healthcare settings.

Key Terms

hvac, mri
2 terms
hvac technical
"Gas and HVAC infrastructure"
HVAC stands for heating, ventilation and air conditioning — the systems that control temperature, airflow and indoor air quality in buildings. Investors care because HVAC drives operating costs, energy use, tenant comfort and regulatory compliance; like the engine and insulation of a building, efficient modern systems can lower bills, reduce repair and replacement spending, and preserve property value, while outdated units can create unexpected expenses and vacancy risk.
mri medical
"Clinical testing and laboratory settings, including MRI facilities"
Magnetic resonance imaging (MRI) is a medical scan that uses magnetic fields and radio waves to create detailed pictures of the inside of the body, like a high-resolution camera for tissues and organs. Investors care because MRI drives demand for imaging machines, hospital services, diagnostics and can be central to clinical trial results and regulatory decisions—changes in MRI use or technology can affect revenue, capital spending and reimbursement in healthcare and medical device markets.

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

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Expands AI Nose platform from industrial safety into clinical infrastructure

HOUSTON, TX / ACCESS Newswire / April 8, 2026 / Ainos, Inc. (NASDAQ:AIMD)(NASDAQ:AIMDW) today announced a partnership with MacKay Memorial Hospital and Topco Scientific Co., Ltd. to deploy its AI Nose technology across high-risk hospital environments. The collaboration aims to expand Ainos' Smell AI platform from industrial and environmental safety into healthcare infrastructure, marking a key step in its commercialization roadmap.

Focused Deployment Across Four Core High-Risk Hospital Environments

The initial deployment, beginning in April 2026, focuses on environmental monitoring and safety across four critical hospital areas, including:

  • Power and electromechanical systems

  • Gas and HVAC infrastructure

  • Chemical handling and storage environments

  • Clinical testing and laboratory settings, including MRI facilities

These environments are among the most operationally sensitive within hospitals, where early detection of anomalies is essential for safety and continuity.

The program is designed to build a unified sensing capability across environments, enabling AI Nose to monitor and interpret multiple risk domains within a single hospital system.

Building a Hospital-Level Environmental Intelligence Layer

AI Nose is a trainable Smell AI platform that continuously learns from environmental data. By capturing and modeling multi-dimensional scent signals, the system intends to establishe baseline profiles for different environments and detects deviations in real time.

In hospital settings, this enables:

  • Monitoring environmental changes associated with infection risk

  • Managing hazardous chemicals and specialty gases

  • Detecting anomalies in electrical and infrastructure systems at early stages

  • Improving visibility into environmental conditions and operational safety

Over time, continuous operation and data accumulation enable AI Nose to transform hospitals from reactive monitoring to proactive, system-wide environmental intelligence.

From Device Deployment to Platform Adoption

This collaboration marks a transition from deploying standalone sensing devices to enabling platform-level adoption. By combining Ainos' Smell AI platform, Topco's system integration capabilities, and MacKay's clinical environment, the partnership establishes a replicable model for scaling across healthcare systems.

Expanding Smell AI in Healthcare

Hospitals are complex, high-risk environments with stringent monitoring requirements. AI Nose introduces a new capability:

  • Giving environments a sense of smell

  • Enabling earlier awareness of emerging risks

  • Supporting a shift from reactive management to preventive operations

"Through this collaboration, AI Nose is entering one of the most demanding real-world environments," said Eddy Tsai, Chairman, President and Chief Executive Officer of Ainos. "We are building a new layer of environmental perception, enabling earlier awareness across infection, chemical, and infrastructure risks."

Key Takeaways

  • Entry into healthcare infrastructure applications

  • Extension from industrial to high-standard clinical environments

  • Real-world deployment and validation

  • Reinforcement of AI perception platform positioning

  • Foundation for scalable healthcare expansion

About Ainos, Inc.

Ainos, Inc. (NASDAQ:AIMD)(NASDAQ:AIMDW) is a dual-platform AI and biotech company pioneering smelltechand 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.

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 will Ainos (AIMD) deploy at MacKay Memorial Hospital in April 2026?

Ainos will deploy its AI Nose Smell AI platform across four critical hospital environments beginning April 2026. According to the company, the pilot covers power/electromechanical systems, gas/HVAC, chemical storage, and clinical testing/lab areas including MRI facilities.

How does AI Nose detect risks in hospital settings for Ainos (AIMD)?

AI Nose models multi-dimensional scent signals to establish baselines and flag deviations in real time. According to the company, this enables earlier detection of infection-related changes, hazardous chemical leaks, and infrastructure anomalies across monitored hospital zones.

What role does Topco Scientific play in the AIMD hospital deployment?

Topco provides system integration to support platform-level adoption in clinical environments. According to the company, Topco's integration capabilities combined with MacKay's clinical setting create a replicable model for scaling across healthcare systems.

Which hospital areas will AIMD monitor first with AI Nose and why?

Initial monitoring targets power/electromechanical, gas/HVAC, chemical handling, and clinical lab/MRI areas because these are operationally sensitive. According to the company, early anomaly detection in these zones supports safety and continuity of hospital operations.

Does the AIMD announcement include financial terms or expected revenue from the hospital partnership?

No financial terms or revenue guidance were disclosed in the announcement. According to the company, the collaboration focuses on deployment, validation, and building a hospital-level environmental intelligence capability rather than reporting contract value.

What is the strategic significance of AIMD expanding AI Nose into healthcare?

Expanding into healthcare moves AI Nose from industrial safety into regulated clinical environments, validating platform utility. According to the company, this marks a key commercialization step and foundation for potential scalable healthcare expansion.