Ainos launches NTU breath-analysis research program for ER dyspnea

Ainos, Inc. (NASDAQ: AIMD, NASDAQ: AIMDW) has announced a one-year research program with National Taiwan University to study the use of its Smell AI platform in emergency medicine, according to a company press release.

The program, titled "Rapid Diagnosis of Dyspneic Patients in the Emergency Department via AI-powered Electronic Nose Technology," is scheduled to run from July 1, 2026. It will examine whether AI-driven analysis of volatile organic compounds in exhaled breath can help emergency physicians evaluate patients presenting with dyspnea, or shortness of breath.

The research aims to develop a system called Deep Dyspnea Differential, which would analyze VOC-based breath patterns to study whether those patterns can differentiate between acute exacerbation of chronic obstructive pulmonary disease, acute decompensated heart failure, and non-disease control groups. The two conditions can present similarly in emergency settings but require different treatment approaches.

The program is expected to include prospective patient enrollment, breath sampling from emergency department patients and control subjects, deep learning model training, and external validation against clinical diagnoses. The company noted that the technology and workflow remain at the research stage.

"Emergency dyspnea triage is a high-value clinical challenge where time and diagnostic clarity are critical," said Eddy Tsai, Chairman, President and Chief Executive Officer of Ainos.

Ainos said the NTU program differs from its existing National Taiwan University Hospital initiative by extending Smell AI from environmental sensing into patient-level breath analysis. The Houston-based company describes its AI Nose platform as integrating sensor arrays with AI algorithms designed to convert scent and VOC signals into structured data.

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