MUMBAI, India, Aug. 24 -- Intellectual Property India has published a patent application (202641098768 A) filed by Dr. G. Sasikumar; Dr. Ruchi Bhatnagar; Dr. S. Parvathi; Dr S M P Qubeb; Nagasuma Cv; Dr. Kishore Kumar Godisela; Suganthi. M; Dr. S. Swetha; Dr. Sachin S. Chourasia; Mr. Swapnil Shukla; Dr. Ananda A; and Dayananda Sagar Academy Of Technology And Management on August 14, 2026, for Advanced Bioinformatics And Machine Learning Framework For Predictive Modeling In Nanomedicine-Based Cancer Drug Delivery.
Inventors include Dr. G. Sasikumar; Dr. Ruchi Bhatnagar; Dr. S. Parvathi; Dr S M P Qubeb; Nagasuma Cv; Dr. Kishore Kumar Godisela; Suganthi. M; Dr. S. Swetha; Dr. Sachin S. Chourasia; Mr. Swapnil Shukla; and Dr. Ananda A.
The application for the patent was published on August 21, 2026, under issue no. 34/2026.
Abstract: The present invention discloses the development of an advanced platform of bioinformatics and machine learning for predictive modeling in drug delivery using nanomedicine for cancer treatment. The platform incorporates multiple data types including omics data, molecular data, nanoparticle properties, drugs properties, and clinical data about the patient. The platform features a bioinformatics processing component that is responsible for data integration, normalization, feature selection, and biomarker detection. Machine learning components are used to evaluate complex interactions between nanoparticle properties, drug release profile, tumour properties, and treatment outcome. Predictive models are configured to predict the efficacy, toxicity, uptake, targeting, and required doses for treatment. A component for optimization helps to choose appropriate formulation of the nanoparticle and delivery parameters for a particular patient. FIG.1
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