MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202621078886 A) filed by Sanjeev Gour on June 26, 2026, for Artificial Intelligence-Based Adaptive System And Method For Personalized Drug Delivery Optimization.
Inventor includes Sanjeev Gour.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The current invention involves an artificial intelligence-based adaptive system and computer-implemented method for providing data-driven personalized drug delivery optimization using predictive analytics, computational modeling, and intelligent decision support. Integrating heterogeneous biomedical datasets (pharmaceutical, physiological, molecular, genomic, and clinical information) into a single computational framework for optimizing therapeutic interventions. First, raw biomedical data are collected from medical centres and validated, normalized, and analyzed through automated feature engineering to generate consistent inputs for the model. A multi- stage machine learning engine with Random Forest, Support Vector Machine and Deep Neural Network algorithms is then leveraged to analyse the processed data for bioavailability, target efficiency, release kinetics, toxicity profile, pharmacokinetic behaviour and therapeutic response predictions. The invention proposes an adaptive optimisation module that determines optimum drug delivery parameters, including dosage concentration, nanoparticle characteristics (dynamic properties), encapsulation efficiency, and carrier composition and release profile. A physiological feedback module provides real-time updates to optimisation decisions based on patient-tailored biological responses, allowing personalised clinical guidelines. Additionally, this explainable artificial intelligence module offers prediction confidence, feature importance, and optimization rationale to enhance clinical interpretability. The proposed system significantly improved the therapeutic efficacy, target specificity, and patient safety but also decreased toxicity, formulation development time, and experimental cost. This invention may be applied to pharmaceutical research organizations, biotechnology industries, hospitals' precision medicine platforms, and intelligent healthcare systems that need the adaptive optimization of modern drug delivery systems with artificial intelligence-based predictive modeling and real-time decision support.
Disclaimer: Curated by HT Syndication.
