MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202611002049 A) filed by Chandigarh University, Mohali, Punjab, on Jan. 8, for 'pathoscent: ai-powered system for real-time detection of airborne pathogen signatures in hospitals.'
Inventor(s) include Ujjwal Mishra; Navjot Singh Talwandi; and Aashutosh Kumar Choudhary.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to PathoScent AI, an intelligent and portable system for real-time detection and classification of airborne pathogens using a multimodal sensor fusion architecture integrated with edge-based artificial intelligence processing. The system draws in ambient air, performs preliminary filtration and analyzes aerosolized particles through a combination of electrochemical gas sensors, biosensors and optical spectroscopic modules. Sensor outputs are processed locally by a built-in deep learning model configured to identify pathogen-related signatures and generate corresponding risk levels with associated confidence scores. Upon detection of a potential airborne threat, the system initiates immediate alerts and may additionally transmit data to a centralized cloud dashboard for remote monitoring. The invention provides rapid, reagent-free, continuous detection suitable for on-site deployment. The device is designed for autonomous long-term operation, incorporates self-diagnostic and maintenance-aware functions. The invention is applicable to multiple locations requiring real-time airborne infection surveillance."
Disclaimer: Curated by HT Syndication.
