MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641122368 A) filed by Vets Institute Of Science, Technology & Advanced Studies Vistas on October 13, 2026, for Plant Extract Testing Device With Ai Integration For Neurodegenerative Disease Detection.
Inventors include Dr. Ronald Darwin C; Dr. Sravani Batchu; Dr. Latha S; Mr. Immanuel Agasteen; Dr. Dhanush Bellapu; Dr. M. Prasad; Dr. Sheena Ad; Karthik S; Aravindhan R; and Kokila L.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: ABSTRACT • PLANT EXTRACT TESTING DEVICE WITH Al INTEGRATION FOR NEURODEGENERATIVE DISEASE DETECTION The present invention relates to a plant extract testing device integrated with an artificial intelligence system for detecting characteristics associated with neurodegenerative diseases. The device comprises a sample receiving unit, an extract preparation and conditioning unit, a sensing unit, a signal conditioning unit, a processing unit, an artificial intelligence analysis module and an output interface. The extract preparation and conditioning unit is configured to control extraction parameters including concentration, dilution, temperature, pH, extraction duration and filtration. The sensing unit acquires measurable characteristics of the plant extract, including optical, chemical, electrochemical and biochemical parameters. The acquired sensor data is digitized, preprocessed and converted into characteristic feature data by the processing unit. The artificial intelligence analysis module analyzes the extracted features using a trained machinelearning model to identify patterns and correlations corresponding to predetermined biomarkers, biochemical pathways or disease-associated signatures of neurodegenerative disorders. The system generates a detection result comprising a predicted disease category, probability, severity indication or risk score. The invention provides a standardized, automated and data-driven platform for analyzing plant extract characteristics and associating the obtained profiles with neurodegenerative disease-associated signatures.
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