MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641073577 A) filed by Mr. Ashwin Ravichandran; Dr. Vijayashekhar S S; Dr. R. Aishwarya Reddy; Dr. Kavitha Nair R; Dr. Prashanth K; Mr. Bhanu Prakash R; and Mr. Hrishikesh Narayan Jha on June 12, 2026, for Nir-Based Automated Inspection Of Tablet Dissolution Rate And Drug Content Using Random Forest Ensemble Learning And Deep Learning.
Inventors include Mr. Ashwin Ravichandran; Dr. Vijayashekhar S S; Dr. R. Aishwarya Reddy; Dr. Kavitha Nair R; Dr. Prashanth K; Mr. Bhanu Prakash R; and Mr. Hrishikesh Narayan Jha.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: The present invention relates to the field of quality assurance combined with artificial intelligence and machine learning. Specifically, the present invention relates to method of detecting impurities, drug content and rate of drug release. Particularly, the present invention relates to robust artificial intelligence and machine learning integrated for rapid detection of release rates,drug content and moisture analysis. The invention is directed to an artificial intelligence-based method and a system, that uses both experimental results data and artificial intelligence simulation to predict properties of tablet such as dissolution profile, physical stability, drug content and status of packaging. FIG.1
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