MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202621077875 A) filed by Lnct University on June 24, 2026, for A Machine Learning Approach For Design And Development Of Herbal Nanoparticles For Treatment Improvement Of Stress Induced Cardiomyopathy & Blood Glucose Level.
Inventors include Smita Jain; and Dr. Manju Prajapati.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: 051] The present invention relates to a machine-learning-guided herbal nanoparticle composition and preparation system for improving stress-induced cardiomyopathic conditions and blood glucose regulation. The composition comprises a standardized herbal active fraction associated with a biodegradable nanocarrier matrix and a stabilizing agent to form nanoparticles having improved dispersion, encapsulation, stability, and controlled release characteristics. A machine-learning module receives formulation variables, process variables, physicochemical data, release data, stability data, and biological-response data to predict optimized preparation parameters. The herbal nanoparticle composition is configured to support cardiometabolic response by improving delivery of herbal bioactives having antioxidant, anti- inflammatory, adaptogenic, cardioprotective, and glucose-regulatory properties. The invention further provides a feedback-based optimization workflow in which measured nanoparticle attributes and biological responses are returned to the prediction model to refine subsequent formulation recommendations and improve reproducibility of herbal nanoparticle development. Accompanied Drawing [FIGS. 1-2]
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