AIMD News & Events

Ainos announced a new research program with National Taiwan University, NTU, to explore the use of Smell AI in emergency medicine. The program, titled "Rapid Diagnosis of Dyspneic Patients in the Emergency Department via AI-powered Electronic Nose Technology," will explore the use of Ainos' Smell AI platform to analyze volatile organic compounds in exhaled breath. The goal is to study whether AI-driven breath-print analysis can help emergency physicians more quickly evaluate patients presenting with dyspnea, commonly known as shortness of breath.

Ainos announced the launch of a research program at National Taiwan University Hospital, NTUH, to deploy AI Nose inside a live emergency department environment for intelligent environmental monitoring, ER overcrowding early warning, and respiratory infection risk analysis. The program aims to expand Smell AI inside a real-world emergency department environment and expands market opportunities beyond semiconductor and industrial environments into frontline healthcare infrastructure.

Ainos announced that it updated its Standard Industrial Classification code from SIC 2834 - Pharmaceutical Preparations to SIC 3577 - Computer Peripheral Equipment, NEC. We believe the updated classification reflects Ainos' operational evolution and commercialization focus on AI-powered sensing, industrial AI applications, and Smell AI technologies driven by AI Nose, the Company's proprietary AI-powered scent digitization platform. "We believe the updated industry classification reflects the continued evolution of our business from healthcare-originated applications toward AI-powered sensing and environmental intelligence technologies," said Eddy Tsai, Chairman, President and Chief Executive Officer of Ainos. "As we expand commercial deployments across semiconductor, robotics, smart infrastructure, and healthcare-related environments, we believe AI Nose is positioning Ainos at the intersection of AI, digital olfaction, and real-world industrial intelligence."